Zeitschriftenartikel zum Thema „Computer aided diagnosis tools“
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Mun, Seong K., und 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.
Der volle Inhalt der QuelleIoanovici, Andrei-Constantin, Andrei-Marian Feier, Ioan Țilea und Daniela Dobru. „Computer-Aided Diagnosis in Colorectal Cancer: Current Concepts and Future Prospects“. Journal of Interdisciplinary Medicine 2, Nr. 3 (01.09.2017): 245–49. http://dx.doi.org/10.1515/jim-2017-0057.
Der volle Inhalt der QuelleMolino, F., D. Furia, F. Bar, S. Battista, N. Cappello und G. Molino. „Computer-Aided Diagnosis in Jaundice: Comparison of Knowledge-based and Probabilistic Approaches“. Methods of Information in Medicine 35, Nr. 01 (Januar 1996): 41–51. http://dx.doi.org/10.1055/s-0038-1634634.
Der volle Inhalt der QuelleBartolini, Ilaria, und 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.
Der volle Inhalt der QuelleJiménez-Gaona, Yuliana, María José Rodríguez-Álvarez und 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.
Der volle Inhalt der QuelleLee, Juhun, Robert M. Nishikawa, Ingrid Reiser und 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.
Der volle Inhalt der QuelleRibeiro, Ricardo T., Rui Tato Marinho und J. Miguel Sanches. „An Ultrasound-Based Computer-Aided Diagnosis Tool for Steatosis Detection“. IEEE Journal of Biomedical and Health Informatics 18, Nr. 4 (Juli 2014): 1397–403. http://dx.doi.org/10.1109/jbhi.2013.2284785.
Der volle Inhalt der QuelleG. P, Vishnu Prasad, Kurapati Vishnu Sai Reddy, A. M. Kiruthik und 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.
Der volle Inhalt der QuelleSantos, Marcel Koenigkam, José Raniery Ferreira Júnior, Danilo Tadao Wada, Ariane Priscilla Magalhães Tenório, Marcello Henrique Nogueira Barbosa und 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 (Dezember 2019): 387–96. http://dx.doi.org/10.1590/0100-3984.2019.0049.
Der volle Inhalt der QuelleOwais, Muhammad, Muhammad Arsalan, Tahir Mahmood, Jin Kyu Kang und 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.
Der volle Inhalt der QuelleHuang, Xing, Tsung-Yi Ho, Wenzhong Guo, Bing Li, Krishnendu Chakrabarty und Ulf Schlichtmann. „Computer-aided Design Techniques for Flow-based Microfluidic Lab-on-a-chip Systems“. ACM Computing Surveys 54, Nr. 5 (Juni 2021): 1–29. http://dx.doi.org/10.1145/3450504.
Der volle Inhalt der QuelleAlexe, Gabriela, James Monaco, Scott Doyle, Ajay Basavanhally, Anupama Reddy, Michael Seiler, Shridar Ganesan, Gyan Bhanot und 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 (August 2009): 860–79. http://dx.doi.org/10.3181/0902-mr-89.
Der volle Inhalt der QuellePavlov, A. E., B. V. Dagbaev und 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.
Der volle Inhalt der QuelleIakovidis, D. K., T. Goudas, C. Smailis und 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.
Der volle Inhalt der QuelleBrüllmann, Dan Dominik, Catharina I. D. Weichert und Monika Daubländer. „Intraoral Cameras as a Computer-Aided Diagnosis Tool for Root Canal Orifices“. Journal of Dental Education 75, Nr. 11 (November 2011): 1452–57. http://dx.doi.org/10.1002/j.0022-0337.2011.75.11.tb05202.x.
Der volle Inhalt der QuelleMeira, Marcilio de Oliveira, Anne Magaly de Paula Canuto, Bruno Motta de Carvalho und 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.
Der volle Inhalt der QuelleD’Antoni, Federico, Fabrizio Russo, Luca Ambrosio, Luca Bacco, Luca Vollero, Gianluca Vadalà, Mario Merone, Rocco Papalia und 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.
Der volle Inhalt der QuelleReiter, Alisa Maria Vittoria, Jean Tori Pantel, Magdalena Danyel, Denise Horn, Claus-Eric Ott und 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.
Der volle Inhalt der QuelleTermine, Andrea, Carlo Fabrizio, Carlo Caltagirone, Laura Petrosini und 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.
Der volle Inhalt der QuelleNoor Najah Ali, Aseel Hameed, Asanka G. Perera und Ali Al Naji. „Custom YOLO Object Detection Model for COVID-19 Diagnosis“. Journal of Techniques 5, Nr. 3 (09.09.2023): 92–100. http://dx.doi.org/10.51173/jt.v5i3.1174.
Der volle Inhalt der QuelleOwais, Muhammad, Muhammad Arsalan, Tahir Mahmood, Yu Hwan Kim und 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 (07.12.2020): e21790. http://dx.doi.org/10.2196/21790.
Der volle Inhalt der QuelleShaikh, Imran, und 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.
Der volle Inhalt der QuelleŻabińska, Iwona, Artur Kuboszek, Erika Sujova und Jan Zitnansky. „Ergonomic Diagnosis of a Computer Workstation“. Multidisciplinary Aspects of Production Engineering 1, Nr. 1 (01.09.2018): 739–44. http://dx.doi.org/10.2478/mape-2018-0093.
Der volle Inhalt der QuelleMartínez-Murcia, F. J., J. M. Górriz, J. Ramírez, C. G. Puntonet und 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 (August 2012): 9676–85. http://dx.doi.org/10.1016/j.eswa.2012.02.153.
Der volle Inhalt der QuelleYang, Huan, und Pengjiang Qian. „GAN-Based Medical Images Synthesis“. International Journal of Health Systems and Translational Medicine 1, Nr. 2 (Juli 2021): 1–9. http://dx.doi.org/10.4018/ijhstm.2021070101.
Der volle Inhalt der QuelleTellakula, KK Praneeth, Saravana Kumar R und 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.
Der volle Inhalt der QuelleZiyad, Shabana R., Radha V. und 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 (September 2021): 1–15. http://dx.doi.org/10.4018/ijehmc.20210901.oa1.
Der volle Inhalt der QuelleMaiti, Ananjan, Biswajoy Chatterjee und K. C. Santosh. „Skin Cancer Classification Through Quantized Color Features and Generative Adversarial Network“. International Journal of Ambient Computing and Intelligence 12, Nr. 3 (Juli 2021): 75–97. http://dx.doi.org/10.4018/ijaci.2021070104.
Der volle Inhalt der QuelleKim, Eun Young, und 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.
Der volle Inhalt der QuelleElzeki, Omar M., Mahmoud Shams, Shahenda Sarhan, Mohamed Abd Elfattah und 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.
Der volle Inhalt der QuelleMaqsood, Sarmad, Robertas Damaševičius und 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.
Der volle Inhalt der QuelleTuncer, Seda Arslan, Ahmet Çınar und 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.
Der volle Inhalt der QuelleTouati, Haifa, Areej Alasiry, Abdulmajid Al-Junaid, Lamia Sellami, Yesmine Ben Hamida, Ahmed Ben Hamida und 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.
Der volle Inhalt der QuelleSollini, Martina, Margarita Kirienko, Noemi Gozzi, Alessandro Bruno, Chiara Torrisi, Luca Balzarini, Emanuele Voulaz, Marco Alloisio und 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 (05.01.2023): 357. http://dx.doi.org/10.3390/cancers15020357.
Der volle Inhalt der QuelleKanta Maitra, Indra, und 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.
Der volle Inhalt der QuelleMarten, K., V. Dicken, C. Kneitz, M. Höhmann, W. Kenn, D. Hahn und 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.
Der volle Inhalt der QuelleAdarkar, Darshan, Atharva Lokapur, Janhavi Porwal und 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.
Der volle Inhalt der QuelleYan Huan, Ch’ng, Mohd Azam Osman und 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.
Der volle Inhalt der QuelleAlves, Rui, Marc Piñol, Jordi Vilaplana, Ivan Teixidó, Joaquim Cruz, Jorge Comas, Ester Vilaprinyo, Albert Sorribas und Francesc Solsona. „Computer-assisted initial diagnosis of rare diseases“. PeerJ 4 (21.07.2016): e2211. http://dx.doi.org/10.7717/peerj.2211.
Der volle Inhalt der QuelleD Bonde, Girish, und 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.
Der volle Inhalt der QuelleAnari, Shokofeh, Nazanin Tataei Sarshar, Negin Mahjoori, Shadi Dorosti und 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.
Der volle Inhalt der QuelleLoh, Hui Wen, Wanrong Hong, Chui Ping Ooi, Subrata Chakraborty, Prabal Datta Barua, Ravinesh C. Deo, Jeffrey Soar, Elizabeth E. Palmer und 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.
Der volle Inhalt der QuelleSharma, Vandana, und 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 (01.12.2023): 1569. http://dx.doi.org/10.11591/ijeecs.v32.i3.pp1569-1579.
Der volle Inhalt der QuelleAlharbi, Abir, und F. Tchier. „Using a genetic-fuzzy algorithm as a computer aided diagnosis tool on Saudi Arabian breast cancer database“. Mathematical Biosciences 286 (April 2017): 39–48. http://dx.doi.org/10.1016/j.mbs.2017.02.002.
Der volle Inhalt der QuelleUmapathy, Snekhalatha, Sowmiya Vasu und 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.
Der volle Inhalt der QuelleBayat, Nasrin, Diane D. Davey, Melanie Coathup und 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.
Der volle Inhalt der QuelleHsiao, Chia-Chi, Chen-Hao Peng, Fu-Zong Wu und 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.
Der volle Inhalt der QuelleRojewska, Katarzyna, Stella Maćkowska, Michał Maćkowski, Agnieszka Różańska, Klaudia Barańska, Mariusz Dzieciątko und 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 (07.05.2022): 4702. http://dx.doi.org/10.3390/app12094702.
Der volle Inhalt der QuelleEdith, Hernández-Ovies, und 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.
Der volle Inhalt der QuelleSandeep, C. S., und 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 (05.02.2019): 25–31. http://dx.doi.org/10.51983/ajeat-2019.8.1.1064.
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