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Journal articles on the topic 'Skin Diseases victoria Diagnosis'

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Published: 10 December 2022
Last updated: 29 January 2023

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1

Soothill, P. W. "Prenatal diagnosis of skin diseases." Archives of Disease in Childhood 63, no. 10 Spec No (October 1, 1988): 1175–78. http://dx.doi.org/10.1136/adc.63.10_spec_no.1175.

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2

Cockerell, Clay J. "Morphologic Diagnosis of Skin Diseases,." American Journal of Dermatopathology 22, no. 5 (October 2000): 465–66. http://dx.doi.org/10.1097/00000372-200010000-00016.

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3

Shimizu, Hiroshi. "Prenatal Diagnosis of Inherited Skin Diseases." Keio Journal of Medicine 45, no. 1 (1996): 28–36. http://dx.doi.org/10.2302/kjm.45.28.

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4

Finlay, A. Y. "Prenatal Diagnosis of Heritable Skin Diseases." Journal of Medical Genetics 25, no. 4 (April 1, 1988): 286. http://dx.doi.org/10.1136/jmg.25.4.286.

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5

&NA;. "Histologic Diagnosis of Inflammatory Skin Diseases." American Journal of Surgical Pathology 18, no. 9 (September 1994): 967. http://dx.doi.org/10.1097/00000478-199409000-00021.

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6

Ashton, Gabrielle H. S., Robin A. J. Eady, and John A. McGrath. "Prenatal diagnosis for inherited skin diseases." Clinics in Dermatology 18, no. 6 (November 2000): 643–48. http://dx.doi.org/10.1016/s0738-081x(00)00153-x.

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7

Solomon, Lawrence M. "Prenatal Diagnosis of Heritable Skin Diseases." Archives of Dermatology 124, no. 5 (May 1, 1988): 787. http://dx.doi.org/10.1001/archderm.1988.01670050119040.

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8

Sward, R. J., and A. P. Brennan. "DIAGNOSIS AND CONTROL OF ALLIUM VIRUS DISEASES IN VICTORIA, AUSTRALIA." Acta Horticulturae, no. 358 (March 1994): 295–98. http://dx.doi.org/10.17660/actahortic.1994.358.49.

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9

Andreoni, Alessandra, Alberto Colasanti, Mario Detfino, Gabriella Fabbrocini, Michele Mastrocinque, Patrizia Riccio, Giuseppe Roberti, and Pietro Santoianni. "Fluorescence imaging for diagnosis of skin diseases." Journal of the European Academy of Dermatology and Venereology 5, no. 2 (September 1995): 195–207. http://dx.doi.org/10.1111/j.1468-3083.1995.tb00545.x.

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10

Bork, Konrad, W. Brauninger, H. K. Mueller, and Thomas B. Fitipatrick. "Diagnosis and Treatment of Common Skin Diseases." Plastic and Reconstructive Surgery 86, no. 3 (September 1990): 595. http://dx.doi.org/10.1097/00006534-199009000-00040.

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11

Schmidt, Enno, and Detlef Zillikens. "Modern diagnosis of autoimmune blistering skin diseases." Autoimmunity Reviews 10, no. 2 (December 2010): 84–89. http://dx.doi.org/10.1016/j.autrev.2010.08.007.

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12

Fitzpatrick, Thomas B. "Diagnosis and Treatment of Common Skin Diseases." Archives of Dermatology 125, no. 7 (July 1, 1989): 1021. http://dx.doi.org/10.1001/archderm.1989.01670190155029.

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13

Kennedy, Cameron. "Neonatal skin diseases: the importance of early diagnosis." Clinical and Experimental Dermatology 26, no. 2 (March 2001): 211–13. http://dx.doi.org/10.1046/j.1365-2230.2001.00802-9.x.

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14

&NA;. "Histopathologic Diagnosis of Inflammatory and Neoplastic Skin Diseases." American Journal of Surgical Pathology 14, no. 7 (July 1990): 702. http://dx.doi.org/10.1097/00000478-199007000-00020.

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15

McGrath, J. A., and A. H. Handyside. "Preimplantation genetic diagnosis of severe inherited skin diseases." Experimental Dermatology 7, no. 2-3 (June 1998): 65–72. http://dx.doi.org/10.1111/j.1600-0625.1998.tb00305.x.

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16

Yohn, Joseph. "Diagnosis and Treatment of Common Skin Diseases (Book)." Journal of Investigative Dermatology 94, no. 1 (January 1990): 156. http://dx.doi.org/10.1111/1523-1747.ep12874062.

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17

Christiano, Angela M. "DNA-Based Prenatal Diagnosis of Heritable Skin Diseases." Archives of Dermatology 129, no. 11 (November 1, 1993): 1455. http://dx.doi.org/10.1001/archderm.1993.01680320089011.

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18

Christiano, A. M. "DNA-based prenatal diagnosis of heritable skin diseases." Archives of Dermatology 129, no. 11 (November 1, 1993): 1455–59. http://dx.doi.org/10.1001/archderm.129.11.1455.

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19

SEIDENARI, S. "Automated diagnosis of pigmented skin lesions." Journal of the European Academy of Dermatology and Venereology 11 (September 1998): S15. http://dx.doi.org/10.1016/s0926-9959(98)94581-0.

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20

Hay, Roderick, and Kingsley Asiedu. "Skin-Related Neglected Tropical Diseases (Skin NTDs)—A New Challenge." Tropical Medicine and Infectious Disease 4, no. 1 (December 25, 2018): 4. http://dx.doi.org/10.3390/tropicalmed4010004.

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Medical teaching has emphasised over many years the uniqueness of disease states, valuing the rare skills on which the art of diagnosis is based and the intricacies of individual patient-centred management. [...]
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21

Coleman III, W. P. "A Photoguide of Common Skin Disorders: Diagnosis and Management; Managing Skin Diseases." JAMA: The Journal of the American Medical Association 282, no. 14 (October 13, 1999): 1384–85. http://dx.doi.org/10.1001/jama.282.14.1384.

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22

Kochergin, N. G., Elena S. Snarskaya, N. S. Arsentyev, and L. M. Shnakhova. "FURUNCULOID MYIASIS, DIFFICULTIES IN DIAGNOSIS." Russian Journal of Skin and Venereal Diseases 22, no. 3-4 (August 15, 2019): 93–96. http://dx.doi.org/10.17816/dv42943.

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Dermatozoonoses are skin diseases caused by arthropod pathogens. This group of skin diseases creates a particular diagnostic problem. Dermatozoonoses include deep and superficial skin changes. Superficial skin changes occur at the sites of bites or after contact with poisonous animals. Deep skin changes occur due to the penetration of the parasite into the skin. A prime example of this disease is dermatobiasis. It is an obligate myiasis, caused by the larvae of Dermatobia hominis flies (Oestridae family) that inhabit mostly in forests of Central and South America. A clinical case of the development of furunculoid myiasis in a russian geologist on a business trip to Argentina is presented.
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23

Mahmud, Md Mostaque, Md Abdullah Al Mamun, Samaresh Chandra Hazra, Rahat Bin Habib, and Md Mostaque Hassan Chowdhury. "Clinico-Histopathological Consistency in Dermatological Diseases." Bangladesh Medical Journal 49, no. 3 (August 9, 2021): 29–34. http://dx.doi.org/10.3329/bmj.v49i3.56078.

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Skin biopsy for histopathology is the most reliable investigation for diagnosis of skin diseases. The main purpose of skin biopsy is to confirm clinical diagnosis but dermatologists usually looking for the concordance with histopathological report. The aim of the study was to observe the consistency of clinical and histopathological diagnosis of skin diseases. An observational study was conducted on 630 patients that undertaken skin biopsy and that was performed at the Department of Dermatology and Venereology, Bangabandhu Sheikh Mujib Medical University from January 2018 to January 2019. Patients who were advised for biopsy by outpatient and inpatient department and the biopsy was done accordingly was included in the study. Finally the inclusion was confirmed when the histopathological report was available. Demographic information, clinical diagnosis, type of biopsy procedure, types of specimen taken and send for histopathological procedure and the histopathological diagnosis was noted in data collection sheet. Histopathological diagnosis and its correlation with clinical diagnosis was assessed for consistency and it was the main outcome measure of the study. The mean age of patients on whom biopsy was performed was 35.14 ±16.57 years and the age range was 5-82 years. Male patients outnumbered female and the male to female ratio was 1.15: 1. Three types of biopsy were performed among them incisional biopsy was the commonest type (93.5%). In most of the cases collected specimen was skin 94.76%, others type of specimens were mucous membrane 2.6%, nail matrix 1.9% and 0.6% specimen was hair follicle. Among the cases 71.43% was diagnosed clinically. The common clinical diagnosis in which biopsy was done was psoriasis and its types 17.77%, lichen planus and its variants 14.12%, the connective tissue diseases 6.19% and infectious diseases 5.39%. In 79.52% cases histopathological diagnosis was done and 68.22% diagnosis was consistent with the clinical diagnosis. The maximum clinico-pathological concordance was found in vesiculo-bullous disease 93.33%. Then connective tissue diseases 79.48%, vasculitides 75% and lichenoid diseases 73.56%. Skin biopsy is a conclusive tool to overcome diagnostic dilemmas in dermatological diseases. The clinico-pathological concordance is assumed lower than the expectation of dermatologists but the collective efforts of dermatologists and pathologists can improve the capacity of diagnosis of biopsy samples. Bangladesh Med J. 2020 Sept; 49(3) : 29-34
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24

Botkina, A. S., and M. I. Dubrovskaya. "Infectious masks of skin diseases in children." Voprosy detskoj dietologii 18, no. 6 (2020): 70–75. http://dx.doi.org/10.20953/1727-5784-2020-6-70-75.

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The article deals with the diagnostic difficulties and the problems of differential diagnosis of various dermatoses. We describe our own clinical observations of juvenile-onset Behcet’s disease in a 16-year-old adolescent and acrodermatitis enteropathica in a 12-month-old girl. A competent differential diagnosis and adequate therapy made it possible to obtain a complete clinical remission of these diseases. Key words: rash, infections, children, Behcet’s disease, acrodermatitis enteropathica, clinical case
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25

Sergeev, Yu Yu, and V. Yu Sergeev. "Dermatoscopy in diagnosis of infectious and parasitic skin diseases." Medical alphabet 2, no. 26 (November 19, 2019): 50–53. http://dx.doi.org/10.33667/2078-5631-2019-2-26(401)-50-53.

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Entodermoscopy is one of the trends in dermatoscopic diagnosis of skin diseases, which describes specific signs of infectious and parasitic dermatoses. Current article presents a description and illustrations of the most common forms of fungal infection, including tinea capitis, herpes zoster, tuberculosis, leishmaniasis and tungiasis. Dermatoscopic examination is proposed to be used as an additional tool for evaluating the effectiveness of the therapy, allowing to control the restoration of the skin structure and its appendages in the treatment process more precisely.
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26

Bobby, J. Sofia, E. Ralan Barathi, V. Srinithi, G. Salome, and A. Jayasurya. "Skin Reflectance Based Diagnosis and Monitoring of Thyroid Diseases." Indian Journal of Public Health Research & Development 10, no. 7 (2019): 1408. http://dx.doi.org/10.5958/0976-5506.2019.01787.x.

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27

Mavlyanova, Sh Z., J. B. Mullakhanov, and A. I. Ismagilov. "MODERN METHODS FOR THE DIAGNOSIS OF ALLERGIC SKIN DISEASES." Juvenis Scientia 6, no. 3 (2020): 28–34. http://dx.doi.org/10.32415/jscientia_2020_6_3_28-34.

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28

Patricia, Malla Zhunio Katherine, Vicente Zapata Edison Santiago, and Montaluisa Yugla Franklin Javier. "Expert System for the Pre-diagnosis of Skin Diseases." International Journal of Machine Learning and Computing 10, no. 1 (January 2020): 81–86. http://dx.doi.org/10.18178/ijmlc.2020.10.1.902.

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29

Kneisel, Andrea, and Michael Hertl. "Autoimmune bullous skin diseases. Part 2: diagnosis and therapy." JDDG: Journal der Deutschen Dermatologischen Gesellschaft 9, no. 11 (October 25, 2011): 927–47. http://dx.doi.org/10.1111/j.1610-0387.2011.07809.x.

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30

Strugaru, O. R., F. Turrini, and A. Scagliarini. "Diagnosis of viral skin diseases of ruminans in Romania." Journal of Biotechnology 150 (November 2010): 134. http://dx.doi.org/10.1016/j.jbiotec.2010.08.351.

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31

Kollias, Nikiforos, and Georgios N. Stamatas. "Optical Non-Invasive Approaches to Diagnosis of Skin Diseases." Journal of Investigative Dermatology Symposium Proceedings 7, no. 1 (December 2002): 64–75. http://dx.doi.org/10.1046/j.1523-1747.2002.19635.x.

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32

Stenn, Kurt, Omar S. Salem, and John C. Maize. "Clinicopathologic Correlation in Diagnosis of Diseases of the Skin." American Journal of Dermatopathology 8, no. 1 (February 1986): 53–56. http://dx.doi.org/10.1097/00000372-198602000-00009.

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33

Shanthi, T., R. S. Sabeenian, and R. Anand. "Automatic diagnosis of skin diseases using convolution neural network." Microprocessors and Microsystems 76 (July 2020): 103074. http://dx.doi.org/10.1016/j.micpro.2020.103074.

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34

Tri Hidayat, Ahmad, Suhirman, and Kais Ismail Ibraheem. "Human Facial Disease Diagnosis System Using Dempster Shafer Method." International Journal of Engineering Technology and Natural Sciences 1, no. 1 (May 25, 2019): 6–11. http://dx.doi.org/10.46923/ijets.v1i1.5.

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Skin is a very important and sensitive part of the human body. It is directly related to the outside world. In everyday life, the skin plays an important role. One of its functions is to remove waste substances. The lack of knowledge and limited sources of information causes low public awareness of skin health as well as not seeing a doctor. Regular skin checks can overcome the beginning of skin diseases that might trigger other more dangerous diseases. The system in this study is designed to detect and to know the symptoms of facial skin diseases that are felt. This knowledge-based system design was developed to diagnose human facial skin disease using the dempster shafer method. The results can help detecting earlier facial skin diseases and overcoming them. Key words : diagnosis system, facial skin disease, dempster-shafer
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35

Alyamani, Nawal R., Ridha M. Alsuwayq, Nawaf M. Bahatheq, Zahra A. Alkhatir, Arwa W. Alhawdar, Yousef H. Alharthi, Khalid H. Alqarni, et al. "Skin manifestations of autoimmune diseases in the pediatrics." International Journal Of Community Medicine And Public Health 8, no. 11 (October 27, 2021): 5557. http://dx.doi.org/10.18203/2394-6040.ijcmph20214053.

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Autoimmune diseases during childhood are common and are usually observed to affect multiple systems. Among many pediatric autoimmune diseases, several cutaneous manifestations were reported in the literature, and the adequate examination and detection of these manifestations might significantly enhance the chances of establishing an adequate diagnosis of the underlying diseases and conditions because the affected patients usually present with typical symptoms. Establishing a proper diagnosis can enhance the prognosis of the affected patients and might prevent the development of serious complications and other adverse events. Besides, it was also previously indicated that establishing an early diagnosis will furtherly help with deciding the most appropriate interventions, which will also enhance the prognosis of the pediatric population. In this literature review, we have discussed the cutaneous manifestations of several autoimmune diseases that might affect the pediatric population. We have majorly discussed the conditions that are associated with systemic lupus, juvenile idiopathic arthritis, dermatomyositis, juvenile-onset systemic sclerosis and morphea. The cutaneous manifestations of these conditions are hugely variable and usually need careful examination and adequate differential diagnosis to establish the best management modality. Besides, some manifestations might gradually develop which might even make the diagnostic approaches even more difficult. Accordingly, clinicians should provide full and thorough examination and diagnosis of the suspected patients because detecting such cases might significantly enhance the prognosis and lead to adequate treatment.
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36

Lemoh, Chris N., Samia Baho, Jeffrey Grierson, Margaret Hellard, Alan Street, and Beverley-Ann Biggs. "African Australians living with HIV: a case series from Victoria." Sexual Health 7, no. 2 (2010): 142. http://dx.doi.org/10.1071/sh09120.

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Background: This research aimed to describe the characteristics of African-born Victorians living with HIV, identify associations with delayed HIV diagnosis and describe their response to combination antiretroviral therapy (cART). Methods: A case series of African-born adults living with HIV in Victoria was conducted. Data was collected in interviews and reviews of case notes. Associations with delayed HIV diagnosis (CD4 below 200 cells µL–1 at diagnosis and/or AIDS within 3 months of HIV diagnosis) were explored using univariate regression. AIDS-defining illnesses and response to cART were described. Results: Fourteen males and six females were included. Ten were born in the Horn of Africa (nine in Ethiopia). Sixteen had sexual exposure (12 heterosexual; four male-to-male sex). Seven reported acquiring HIV in Australia. Median CD4 count at diagnosis was 145 cells µL–1. Ten had delayed HIV diagnosis, of whom eight were born in the Horn of Africa. Delayed HIV diagnosis was associated with birth in the Horn of Africa (odds ratio: 11.56). Nine had a diagnosis of AIDS, including three cases of tuberculosis, three of Pneumocystis jiroveci pneumonia and two of cerebral toxoplasmosis. Eighteen had received cART, of which 16 achieved virological suppression and 15 achieved a CD4 count above 200 cells µL–1. Clinical failure and virological failure occurred in seven and five cases, respectively. Conclusions: HIV prevention strategies for Victoria’s African communities should address HIV exposure in Australia. Ethiopian-born Victorians with HIV appear to be at particular risk of delayed diagnosis. Response to cART in this series was comparable to that observed in other industrialised countries.
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37

Soltész, Lilla, Petra Urbán, Tünde Várvölgyi, Beáta Tóth, and Andrea Szegedi. "Skin lesions of primary immunodeficiency diseases." Bőrgyógyászati és Venerológiai Szemle 98, no. 2 (May 5, 2022): 56–63. http://dx.doi.org/10.7188/bvsz.2022.98.2.2.

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Primary immunodeficiency diseases are genetic disorders of the innate or adaptive immune system. Genetically heterogeneous disorders that typically manifest as recurrent infections, inflammatory, granulomatous and autoimmune diseases or malignancies. Skin involvement is common, occurring as an early symptom in most cases, so dermatological examination may play a crucial role in the diagnosis. Within this rare group of diseases, we describe the most common diseases focusing on their skin symptoms, and diagnostic and therapeutic options
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38

de Sousa, Diogo, João Patrocínio, Joana Frade, Claúdia Brazão, Dora Mancha, Catarina Correia, João Borges-Costa, and Paulo Filipe. "Monkeypox Diagnosis by Cutaneous and Mucosal Findings." Infectious Disease Reports 14, no. 5 (September 27, 2022): 759–64. http://dx.doi.org/10.3390/idr14050077.

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A monkeypox outbreak has been reported in several countries since early May 2022. Human monkeypox (MPX) diagnosis is based on a clinical suspicion supported by typical skin and mucosal lesions, confirmed with molecular testing. We present the results of all MPX confirmed patients presenting to our department until July 15 of 2022, describing the characteristics of the lesions at diagnosis. In total, 47 patients were included, all men and 44.7% (n = 21) were HIV-positive. Skin lesions were noted in all patients. The most commonly affected area was the genital region (63.8%), followed by the anorectal region (46.8%). Extra anogenital mucosal (oral or conjunctival mucosa) involvement was reported in three patients. Typical skin findings included erythematous papules, whitish, umbilicated papules, some with a necrotic center and an elevated whitish border. Most patients had lesions in multiple phases presenting simultaneously. Correct identification of MPX skin and mucosal lesions is crucial to avoid late diagnosis and prevent further spreading, ensuring less worldwide morbidity.
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39

Dash, Siddharth Raj. "Skin Cancer Analysis with Deep Learning." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (July 31, 2021): 2663–72. http://dx.doi.org/10.22214/ijraset.2021.36761.

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Skin diseases are some of the most common diseases and are often difficult to diagnose than other diseases. Skin diseases may be caused by fungus, bacteria, allergic reaction, viruses, cancer etc. The technological advancement in laser diagnosis and Photonics based medical diagnosis has made it possible to diagnose the skin diseases much more quickly and accurately. But the cost of diagnostics is time-consuming and very expensive. Hence, we can use image processing techniques to help build automated preliminary detection system for such dermatological diagnostics.
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40

ANSAI, Shin-ichi. "Histopathological Diagnosis of Inflammatory Skin Diseases with Psoriatic Hyperplasia : Differential Diagnosis between Psoriasis Vulgaris and Related Diseases." Nishi Nihon Hifuka 82, no. 5 (October 1, 2020): 337–42. http://dx.doi.org/10.2336/nishinihonhifu.82.337.

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41

Pereira, Paula R., Ronaldo M. Bianchi, Márcia E. Hammerschmitt, Raquel A. S. Cruz, Kivia L. Hesse, Luciana Sonne, Saulo P. Pavarini, and David Driemeier. "Primary skin diseases and cutaneous manifestations of systemic diseases in swine." Pesquisa Veterinária Brasileira 40, no. 8 (August 2020): 579–88. http://dx.doi.org/10.1590/1678-5150-pvb-6704.

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ABSTRACT: Skin diseases in pigs can negatively impact the production. They cause losses related to the death of the affected pigs, to the cost with the treatment, growth retardation and condemnations in the slaughterhouses. This study was developed to determine the frequency and describe the histopathological findings of skin diseases in pigs in different age groups through a retrospective study from 2006 to 2018. A total of 154 conclusive cases were analyzed, including skin restricted diseases (allergic dermatitis, exudative epidermitis, vesicular dermatitis, pityriasis rosea, swinepox, follicular cyst, papilloma and scrotal hemangioma) or skin lesions secondary to systemic diseases (erysipelas, porcine dermatitis and nephropathy syndrome (PDNS), bacterial septicemia and multiple hemorrhages without definite cause). The skin lesions were classified as bacterial (46.1%), viral (26.6%), allergic (12.3%), neoplastic (1.3%) and others (13.6%). Swine erysipelas was the most frequent diagnosis (47/154), followed by PDNS (23/154), allergic dermatitis (19/154) and exudative epidermitis (15/154). Vesicular dermatitis (9/154), pityriasis rosea (9/154), septicemia with cutaneous manifestations (9/154), swinepox (9/154) and multiple hemorrhages without definite cause (7/154) were also observed. Follicular cyst (3/154), hyperkeratosis without definite cause (2/154), papilloma (1/154), and scrotal hemangioma (1/154) were less frequently described. Of the conclusive diagnosis, age was reported in 138 cases, with the highest frequency of skin lesions observed at the inspection process during slaughter (56/138).
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42

Harman, Mehmet, Sedat Akdeniz, and Bulent Mizrak. "Slit-skin smear in diagnosis of cutaneous mastocytomas." Indian Journal of Dermatology, Venereology, and Leprology 76, no. 2 (2010): 187. http://dx.doi.org/10.4103/0378-6323.60559.

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43

Lengyel, Zsuzsanna, Eszter Baltás, Henriette Ócsai, Beáta Somlai, Erika Varga, Zita Battyáni, Judit Oláh, Rolland Gyulai, and Gabriella Emri. "Dermoscopy in non-neoplastic skin diseases." Bőrgyógyászati és Venerológiai Szemle 98, no. 3 (July 12, 2022): 116–23. http://dx.doi.org/10.7188/bvsz.2022.98.3.3.

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Dermoscopy is a well-known method used in the diagnosis of pigmented lesions and in differentiating between benign and malignant tumors. Over the last years, numerous studies have addressed the use of the dermatoscopy in general dermatology and its role in diagnostics. Although the use of dermoscopy in these conditions has not yet been incorporated into the daily routine. Efforts to standardize the method may change this in the future. In this review article, the authors summarize the terminology and parameters to be examined in the dermoscopic description of non-neoplastic skin disorders with examples, based on the consensus statement from the International Dermoscopy Society
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44

Bajwa, Muhammad Naseer, Kaoru Muta, Muhammad Imran Malik, Shoaib Ahmed Siddiqui, Stephan Alexander Braun, Bernhard Homey, Andreas Dengel, and Sheraz Ahmed. "Computer-Aided Diagnosis of Skin Diseases Using Deep Neural Networks." Applied Sciences 10, no. 7 (April 4, 2020): 2488. http://dx.doi.org/10.3390/app10072488.

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Propensity of skin diseases to manifest in a variety of forms, lack and maldistribution of qualified dermatologists, and exigency of timely and accurate diagnosis call for automated Computer-Aided Diagnosis (CAD). This study aims at extending previous works on CAD for dermatology by exploring the potential of Deep Learning to classify hundreds of skin diseases, improving classification performance, and utilizing disease taxonomy. We trained state-of-the-art Deep Neural Networks on two of the largest publicly available skin image datasets, namely DermNet and ISIC Archive, and also leveraged disease taxonomy, where available, to improve classification performance of these models. On DermNet we establish new state-of-the-art with 80% accuracy and 98% Area Under the Curve (AUC) for classification of 23 diseases. We also set precedence for classifying all 622 unique sub-classes in this dataset and achieved 67% accuracy and 98% AUC. On ISIC Archive we classified all 7 diseases with 93% average accuracy and 99% AUC. This study shows that Deep Learning has great potential to classify a vast array of skin diseases with near-human accuracy and far better reproducibility. It can have a promising role in practical real-time skin disease diagnosis by assisting physicians in large-scale screening using clinical or dermoscopic images.
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45

Mikołajczyk, Maksym, Sebastian Patrzyk, Mariusz Nieniewski, and Anna Woźniacka. "Evaluation of a smartphone application for diagnosis of skin diseases." Advances in Dermatology and Allergology 38, no. 5 (2021): 761–66. http://dx.doi.org/10.5114/ada.2020.101258.

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46

Anand, Vatsala, Sheifali Gupta, Deepika Koundal, Shubham Mahajan, Amit Kant Pandit, and Atef Zaguia. "Deep Learning Based Automated Diagnosis of Skin Diseases Using Dermoscopy." Computers, Materials & Continua 71, no. 2 (2022): 3145–60. http://dx.doi.org/10.32604/cmc.2022.022788.

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47

Eames, Tatjana, Michael Landthaler, and Sigrid Karrer. "Crohn’s disease: an important differential diagnosis of granulomatous skin diseases." European Journal of Dermatology 19, no. 4 (July 2009): 360–64. http://dx.doi.org/10.1684/ejd.2009.0674.

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Koehler, Martin Johannes, Susanne Lange-Asschenfeldt, and Martin Kaatz. "Non-invasive imaging techniques in the diagnosis of skin diseases." Expert Opinion on Medical Diagnostics 5, no. 5 (August 24, 2011): 425–40. http://dx.doi.org/10.1517/17530059.2011.599064.

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Al-Shenawy, Hanan Al-Saeid. "Can immunohistochemistry replace immunofluorescence in diagnosis of skin bullous diseases?" APMIS 125, no. 2 (January 3, 2017): 114–21. http://dx.doi.org/10.1111/apm.12643.

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Liu, Yuan, Ayush Jain, Clara Eng, David H. Way, Kang Lee, Peggy Bui, Kimberly Kanada, et al. "A deep learning system for differential diagnosis of skin diseases." Nature Medicine 26, no. 6 (May 18, 2020): 900–908. http://dx.doi.org/10.1038/s41591-020-0842-3.

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