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16 February 2021 patologIA: online platform for improving image-based diagnostics applied to medical students
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Abstract
This work aims at the development of a platform called pathology. Designed to aid learning, with an emphasis on improving diagnoses based on images, it is aimed at medical students and will be available via the Internet. The platform will make possible the interaction between students, teachers and specialists, extending the experience in the classroom to a dynamic based on the interpretation of images, elaboration of diagnoses and comparison with reports previously provided by specialists. Artificial intelligence (I.A.) resources will enable the analysis of images to help compose the knowledge base of the application, developed using cloud’s APIs.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
César A. S. Lima, Clayton Eduardo dos Santos, Márcia A. S. Bissaco, Alessandro P. da Silva, Terigi A. Scardovelli, Silvia R. M. da S. Boschi, and Silvia Cristina Martini "patologIA: online platform for improving image-based diagnostics applied to medical students", Proc. SPIE 11601, Medical Imaging 2021: Imaging Informatics for Healthcare, Research, and Applications, 116010T (16 February 2021); https://doi.org/10.1117/12.2582237
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