Artykuły w czasopismach na temat „Computer aided diagnosis tools”
Utwórz poprawne odniesienie w stylach APA, MLA, Chicago, Harvard i wielu innych
Sprawdź 50 najlepszych artykułów w czasopismach naukowych na temat „Computer aided diagnosis tools”.
Przycisk „Dodaj do bibliografii” jest dostępny obok każdej pracy w bibliografii. Użyj go – a my automatycznie utworzymy odniesienie bibliograficzne do wybranej pracy w stylu cytowania, którego potrzebujesz: APA, MLA, Harvard, Chicago, Vancouver itp.
Możesz również pobrać pełny tekst publikacji naukowej w formacie „.pdf” i przeczytać adnotację do pracy online, jeśli odpowiednie parametry są dostępne w metadanych.
Przeglądaj artykuły w czasopismach z różnych dziedzin i twórz odpowiednie bibliografie.
Mun, Seong K., i Dow-Mu Koh. "Special Issue: “Machine Learning for Computer-Aided Diagnosis in Biomedical Imaging”". Diagnostics 12, nr 6 (27.05.2022): 1331. http://dx.doi.org/10.3390/diagnostics12061331.
Pełny tekst źródłaIoanovici, Andrei-Constantin, Andrei-Marian Feier, Ioan Țilea i Daniela Dobru. "Computer-Aided Diagnosis in Colorectal Cancer: Current Concepts and Future Prospects". Journal of Interdisciplinary Medicine 2, nr 3 (1.09.2017): 245–49. http://dx.doi.org/10.1515/jim-2017-0057.
Pełny tekst źródłaMolino, F., D. Furia, F. Bar, S. Battista, N. Cappello i G. Molino. "Computer-Aided Diagnosis in Jaundice: Comparison of Knowledge-based and Probabilistic Approaches". Methods of Information in Medicine 35, nr 01 (styczeń 1996): 41–51. http://dx.doi.org/10.1055/s-0038-1634634.
Pełny tekst źródłaBartolini, Ilaria, i Andrea Di Luzio. "CAT-CAD: A Computer-Aided Diagnosis Tool for Cataplexy". Computers 10, nr 4 (13.04.2021): 51. http://dx.doi.org/10.3390/computers10040051.
Pełny tekst źródłaJiménez-Gaona, Yuliana, María José Rodríguez-Álvarez i Vasudevan Lakshminarayanan. "Deep-Learning-Based Computer-Aided Systems for Breast Cancer Imaging: A Critical Review". Applied Sciences 10, nr 22 (23.11.2020): 8298. http://dx.doi.org/10.3390/app10228298.
Pełny tekst źródłaLee, Juhun, Robert M. Nishikawa, Ingrid Reiser i John M. Boone. "Optimal reconstruction and quantitative image features for computer-aided diagnosis tools for breast CT". Medical Physics 44, nr 5 (13.04.2017): 1846–56. http://dx.doi.org/10.1002/mp.12214.
Pełny tekst źródłaRibeiro, Ricardo T., Rui Tato Marinho i J. Miguel Sanches. "An Ultrasound-Based Computer-Aided Diagnosis Tool for Steatosis Detection". IEEE Journal of Biomedical and Health Informatics 18, nr 4 (lipiec 2014): 1397–403. http://dx.doi.org/10.1109/jbhi.2013.2284785.
Pełny tekst źródłaG. P, Vishnu Prasad, Kurapati Vishnu Sai Reddy, A. M. Kiruthik i Dr J. Arun Nehru. "Prediction of Kidney Stones Using Machine Learning". International Journal for Research in Applied Science and Engineering Technology 10, nr 5 (31.05.2022): 1037–44. http://dx.doi.org/10.22214/ijraset.2022.42416.
Pełny tekst źródłaSantos, Marcel Koenigkam, José Raniery Ferreira Júnior, Danilo Tadao Wada, Ariane Priscilla Magalhães Tenório, Marcello Henrique Nogueira Barbosa i Paulo Mazzoncini de Azevedo Marques. "Artificial intelligence, machine learning, computer-aided diagnosis, and radiomics: advances in imaging towards to precision medicine". Radiologia Brasileira 52, nr 6 (grudzień 2019): 387–96. http://dx.doi.org/10.1590/0100-3984.2019.0049.
Pełny tekst źródłaOwais, Muhammad, Muhammad Arsalan, Tahir Mahmood, Jin Kyu Kang i Kang Ryoung Park. "Automated Diagnosis of Various Gastrointestinal Lesions Using a Deep Learning–Based Classification and Retrieval Framework With a Large Endoscopic Database: Model Development and Validation". Journal of Medical Internet Research 22, nr 11 (26.11.2020): e18563. http://dx.doi.org/10.2196/18563.
Pełny tekst źródłaHuang, Xing, Tsung-Yi Ho, Wenzhong Guo, Bing Li, Krishnendu Chakrabarty i Ulf Schlichtmann. "Computer-aided Design Techniques for Flow-based Microfluidic Lab-on-a-chip Systems". ACM Computing Surveys 54, nr 5 (czerwiec 2021): 1–29. http://dx.doi.org/10.1145/3450504.
Pełny tekst źródłaAlexe, Gabriela, James Monaco, Scott Doyle, Ajay Basavanhally, Anupama Reddy, Michael Seiler, Shridar Ganesan, Gyan Bhanot i Anant Madabhushi. "Towards Improved Cancer Diagnosis and Prognosis Using Analysis of Gene Expression Data and Computer Aided Imaging". Experimental Biology and Medicine 234, nr 8 (sierpień 2009): 860–79. http://dx.doi.org/10.3181/0902-mr-89.
Pełny tekst źródłaPavlov, A. E., B. V. Dagbaev i I. I. Starkova. "COMPREHENSIVE SURVEY OF FREESTYLE WRESTLERS USING COMPUTER-AIDED PULSE DIAGNOSIS SYSTEM (TIBETAN MEDICINE IN SPORTS)". Pedagogical IMAGE 15, nr 1 (2021): 26–37. http://dx.doi.org/10.32343/2409-5052-2021-15-1-26-37.
Pełny tekst źródłaIakovidis, D. K., T. Goudas, C. Smailis i I. Maglogiannis. "Ratsnake: A Versatile Image Annotation Tool with Application to Computer-Aided Diagnosis". Scientific World Journal 2014 (2014): 1–12. http://dx.doi.org/10.1155/2014/286856.
Pełny tekst źródłaBrüllmann, Dan Dominik, Catharina I. D. Weichert i Monika Daubländer. "Intraoral Cameras as a Computer-Aided Diagnosis Tool for Root Canal Orifices". Journal of Dental Education 75, nr 11 (listopad 2011): 1452–57. http://dx.doi.org/10.1002/j.0022-0337.2011.75.11.tb05202.x.
Pełny tekst źródłaMeira, Marcilio de Oliveira, Anne Magaly de Paula Canuto, Bruno Motta de Carvalho i Roberto Levi Cavalcanti Jales. "Comparison of Machine Learning predictive methods to diagnose the Attention Deficit/Hyperactivity Disorder levels using SPECT". Research, Society and Development 11, nr 8 (29.06.2022): e54811831258. http://dx.doi.org/10.33448/rsd-v11i8.31258.
Pełny tekst źródłaD’Antoni, Federico, Fabrizio Russo, Luca Ambrosio, Luca Bacco, Luca Vollero, Gianluca Vadalà, Mario Merone, Rocco Papalia i Vincenzo Denaro. "Artificial Intelligence and Computer Aided Diagnosis in Chronic Low Back Pain: A Systematic Review". International Journal of Environmental Research and Public Health 19, nr 10 (14.05.2022): 5971. http://dx.doi.org/10.3390/ijerph19105971.
Pełny tekst źródłaReiter, Alisa Maria Vittoria, Jean Tori Pantel, Magdalena Danyel, Denise Horn, Claus-Eric Ott i Martin Atta Mensah. "Validation of 3 Computer-Aided Facial Phenotyping Tools (DeepGestalt, GestaltMatcher, and D-Score): Comparative Diagnostic Accuracy Study". Journal of Medical Internet Research 26 (13.03.2024): e42904. http://dx.doi.org/10.2196/42904.
Pełny tekst źródłaTermine, Andrea, Carlo Fabrizio, Carlo Caltagirone, Laura Petrosini i on behalf of the Frontotemporal Lobar Degeneration Neuroimaging Initiative. "A Reproducible Deep-Learning-Based Computer-Aided Diagnosis Tool for Frontotemporal Dementia Using MONAI and Clinica Frameworks". Life 12, nr 7 (23.06.2022): 947. http://dx.doi.org/10.3390/life12070947.
Pełny tekst źródłaNoor Najah Ali, Aseel Hameed, Asanka G. Perera i Ali Al Naji. "Custom YOLO Object Detection Model for COVID-19 Diagnosis". Journal of Techniques 5, nr 3 (9.09.2023): 92–100. http://dx.doi.org/10.51173/jt.v5i3.1174.
Pełny tekst źródłaOwais, Muhammad, Muhammad Arsalan, Tahir Mahmood, Yu Hwan Kim i Kang Ryoung Park. "Comprehensive Computer-Aided Decision Support Framework to Diagnose Tuberculosis From Chest X-Ray Images: Data Mining Study". JMIR Medical Informatics 8, nr 12 (7.12.2020): e21790. http://dx.doi.org/10.2196/21790.
Pełny tekst źródłaShaikh, Imran, i Kadam V.K. "Automatic Computer Propped Diagnosis Framework of Liver Cancer Detection using CNN LSTM". International Journal of Engineering Research in Electronics and Communication Engineering 9, nr 2 (28.02.2022): 1–8. http://dx.doi.org/10.36647/ijerece/09.02.a001.
Pełny tekst źródłaŻabińska, Iwona, Artur Kuboszek, Erika Sujova i Jan Zitnansky. "Ergonomic Diagnosis of a Computer Workstation". Multidisciplinary Aspects of Production Engineering 1, nr 1 (1.09.2018): 739–44. http://dx.doi.org/10.2478/mape-2018-0093.
Pełny tekst źródłaMartínez-Murcia, F. J., J. M. Górriz, J. Ramírez, C. G. Puntonet i D. Salas-González. "Computer Aided Diagnosis tool for Alzheimer’s Disease based on Mann–Whitney–Wilcoxon U-Test". Expert Systems with Applications 39, nr 10 (sierpień 2012): 9676–85. http://dx.doi.org/10.1016/j.eswa.2012.02.153.
Pełny tekst źródłaYang, Huan, i Pengjiang Qian. "GAN-Based Medical Images Synthesis". International Journal of Health Systems and Translational Medicine 1, nr 2 (lipiec 2021): 1–9. http://dx.doi.org/10.4018/ijhstm.2021070101.
Pełny tekst źródłaTellakula, KK Praneeth, Saravana Kumar R i Sanjoy Deb. "A SURVEY OF AI IMAGING TECHNIQUES FOR COVID-19 DIAGNOSIS AND PROGNOSIS". Applied Computer Science 17, nr 2 (30.06.2021): 40–55. http://dx.doi.org/10.35784/acs-2021-12.
Pełny tekst źródłaZiyad, Shabana R., Radha V. i Thavavel Vaiyapuri. "Noise Removal in Lung LDCT Images by Novel Discrete Wavelet-Based Denoising With Adaptive Thresholding Technique". International Journal of E-Health and Medical Communications 12, nr 5 (wrzesień 2021): 1–15. http://dx.doi.org/10.4018/ijehmc.20210901.oa1.
Pełny tekst źródłaMaiti, Ananjan, Biswajoy Chatterjee i K. C. Santosh. "Skin Cancer Classification Through Quantized Color Features and Generative Adversarial Network". International Journal of Ambient Computing and Intelligence 12, nr 3 (lipiec 2021): 75–97. http://dx.doi.org/10.4018/ijaci.2021070104.
Pełny tekst źródłaKim, Eun Young, i Myung Jin Chung. "Application of artificial intelligence in chest imaging for COVID-19". Journal of the Korean Medical Association 64, nr 10 (10.10.2021): 664–70. http://dx.doi.org/10.5124/jkma.2021.64.10.664.
Pełny tekst źródłaElzeki, Omar M., Mahmoud Shams, Shahenda Sarhan, Mohamed Abd Elfattah i Aboul Ella Hassanien. "COVID-19: a new deep learning computer-aided model for classification". PeerJ Computer Science 7 (18.02.2021): e358. http://dx.doi.org/10.7717/peerj-cs.358.
Pełny tekst źródłaMaqsood, Sarmad, Robertas Damaševičius i Rytis Maskeliūnas. "TTCNN: A Breast Cancer Detection and Classification towards Computer-Aided Diagnosis Using Digital Mammography in Early Stages". Applied Sciences 12, nr 7 (23.03.2022): 3273. http://dx.doi.org/10.3390/app12073273.
Pełny tekst źródłaTuncer, Seda Arslan, Ahmet Çınar i Murat Fırat. "Hybrid CNN Based Computer-Aided Diagnosis System for Choroidal Neovascularization, Diabetic Macular Edema, Drusen Disease Detection from OCT Images". Traitement du Signal 38, nr 3 (30.06.2021): 673–79. http://dx.doi.org/10.18280/ts.380314.
Pełny tekst źródłaTouati, Haifa, Areej Alasiry, Abdulmajid Al-Junaid, Lamia Sellami, Yesmine Ben Hamida, Ahmed Ben Hamida i Khaireddine Ben Mahfoudh. "Contribution to an Advanced Clinical Aided Tool Dedicated to Explore ASPECTS Score of Ischemic Stroke". Journal of Image and Graphics 12, nr 1 (2024): 40–52. http://dx.doi.org/10.18178/joig.12.1.40-52.
Pełny tekst źródłaSollini, Martina, Margarita Kirienko, Noemi Gozzi, Alessandro Bruno, Chiara Torrisi, Luca Balzarini, Emanuele Voulaz, Marco Alloisio i Arturo Chiti. "The Development of an Intelligent Agent to Detect and Non-Invasively Characterize Lung Lesions on CT Scans: Ready for the “Real World”?" Cancers 15, nr 2 (5.01.2023): 357. http://dx.doi.org/10.3390/cancers15020357.
Pełny tekst źródłaKanta Maitra, Indra, i Samir Kumar Bandyopadhyay. "CAD Based Method for Detection of Breast Cancer". Oriental journal of computer science and technology 11, nr 3 (10.09.2018): 154–68. http://dx.doi.org/10.13005/ojcst11.03.04.
Pełny tekst źródłaMarten, K., V. Dicken, C. Kneitz, M. Höhmann, W. Kenn, D. Hahn i C. Engelke. "Interstitial lung disease associated with collagen vascular disorders: disease quantification using a computer-aided diagnosis tool". European Radiology 19, nr 2 (26.08.2008): 324–32. http://dx.doi.org/10.1007/s00330-008-1152-1.
Pełny tekst źródłaAdarkar, Darshan, Atharva Lokapur, Janhavi Porwal i Pratik Mali. "Chronic Kidney Disease Prediction". International Journal for Research in Applied Science and Engineering Technology 11, nr 4 (30.04.2023): 4239–43. http://dx.doi.org/10.22214/ijraset.2023.51239.
Pełny tekst źródłaYan Huan, Ch’ng, Mohd Azam Osman i Jong Hui Ying. "An Innovation-Driven Approach to Specific Language Impairment Diagnosis". Malaysian Journal of Medical Sciences 28, nr 2 (21.04.2021): 161–70. http://dx.doi.org/10.21315/mjms2021.28.2.15.
Pełny tekst źródłaAlves, Rui, Marc Piñol, Jordi Vilaplana, Ivan Teixidó, Joaquim Cruz, Jorge Comas, Ester Vilaprinyo, Albert Sorribas i Francesc Solsona. "Computer-assisted initial diagnosis of rare diseases". PeerJ 4 (21.07.2016): e2211. http://dx.doi.org/10.7717/peerj.2211.
Pełny tekst źródłaD Bonde, Girish, i Dr Manish Jain. "Analysis of MRI Data of Brain for CAD System". International Journal of Engineering & Technology 7, nr 2.17 (15.04.2018): 63. http://dx.doi.org/10.14419/ijet.v7i2.17.11560.
Pełny tekst źródłaAnari, Shokofeh, Nazanin Tataei Sarshar, Negin Mahjoori, Shadi Dorosti i Amirali Rezaie. "Review of Deep Learning Approaches for Thyroid Cancer Diagnosis". Mathematical Problems in Engineering 2022 (25.08.2022): 1–8. http://dx.doi.org/10.1155/2022/5052435.
Pełny tekst źródłaLoh, Hui Wen, Wanrong Hong, Chui Ping Ooi, Subrata Chakraborty, Prabal Datta Barua, Ravinesh C. Deo, Jeffrey Soar, Elizabeth E. Palmer i U. Rajendra Acharya. "Application of Deep Learning Models for Automated Identification of Parkinson’s Disease: A Review (2011–2021)". Sensors 21, nr 21 (23.10.2021): 7034. http://dx.doi.org/10.3390/s21217034.
Pełny tekst źródłaSharma, Vandana, i Divya Midhunchakkaravarthy. "Local post-hoc interpretable machine learning model for prediction of dementia in young adults". Indonesian Journal of Electrical Engineering and Computer Science 32, nr 3 (1.12.2023): 1569. http://dx.doi.org/10.11591/ijeecs.v32.i3.pp1569-1579.
Pełny tekst źródłaAlharbi, Abir, i F. Tchier. "Using a genetic-fuzzy algorithm as a computer aided diagnosis tool on Saudi Arabian breast cancer database". Mathematical Biosciences 286 (kwiecień 2017): 39–48. http://dx.doi.org/10.1016/j.mbs.2017.02.002.
Pełny tekst źródłaUmapathy, Snekhalatha, Sowmiya Vasu i Nilkantha Gupta. "Computer Aided Diagnosis Based Hand Thermal Image Analysis: A Potential Tool for the Evaluation of Rheumatoid Arthritis". Journal of Medical and Biological Engineering 38, nr 4 (30.09.2017): 666–77. http://dx.doi.org/10.1007/s40846-017-0338-x.
Pełny tekst źródłaBayat, Nasrin, Diane D. Davey, Melanie Coathup i Joon-Hyuk Park. "White Blood Cell Classification Using Multi-Attention Data Augmentation and Regularization". Big Data and Cognitive Computing 6, nr 4 (21.10.2022): 122. http://dx.doi.org/10.3390/bdcc6040122.
Pełny tekst źródłaHsiao, Chia-Chi, Chen-Hao Peng, Fu-Zong Wu i Da-Chuan Cheng. "Impact of Voxel Normalization on a Machine Learning-Based Method: A Study on Pulmonary Nodule Malignancy Diagnosis Using Low-Dose Computed Tomography (LDCT)". Diagnostics 13, nr 24 (18.12.2023): 3690. http://dx.doi.org/10.3390/diagnostics13243690.
Pełny tekst źródłaRojewska, Katarzyna, Stella Maćkowska, Michał Maćkowski, Agnieszka Różańska, Klaudia Barańska, Mariusz Dzieciątko i Dominik Spinczyk. "Natural Language Processing and Machine Learning Supporting the Work of a Psychologist and Its Evaluation on the Example of Support for Psychological Diagnosis of Anorexia". Applied Sciences 12, nr 9 (7.05.2022): 4702. http://dx.doi.org/10.3390/app12094702.
Pełny tekst źródłaEdith, Hernández-Ovies, i Flores-Preciado Julio César. "Advanced Perspectives in Dentistry: Digital Workflow and 3D Printing". EAS Journal of Dentistry and Oral Medicine 5, nr 06 (20.12.2023): 198–200. http://dx.doi.org/10.36349/easjdom.2023.v05i06.010.
Pełny tekst źródłaSandeep, C. S., i A. Sukesh Kumar. "The Different Strategies used for the Early Diagnosis of Alzheimer’s Disease". Asian Journal of Engineering and Applied Technology 8, nr 1 (5.02.2019): 25–31. http://dx.doi.org/10.51983/ajeat-2019.8.1.1064.
Pełny tekst źródła