Emulating Clinical Diagnostic Reasoning for Jaw Cysts with Machine Learning

Emulating Clinical Diagnostic Reasoning for Jaw Cysts with Machine Learning

The detection and classification of cystic lesions of the jaw is of high clinical relevance and represents a topic of interest in medical artificial intelligence research. The human clinical diagnostic reasoning process uses contextual information, including the spatial relation of the detected lesi...

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Bibliographic Details
Main Authors: Feher, Balazs, Kuchler, Ulrike, Schwendicke, Falk, Schneider, Lisa, Cejudo Grano de Oro, Jose Eduardo, Xi, Tong, Vinayahalingam, Shankeeth, Hsu, Tzu-Ming Harry, Brinz, Janet, Chaurasia, Akhilanand, Dhingra, Kunaal, Gaudin, Robert Andre, Mohammad-Rahimi, Hossein, Pereira, Nielsen, Perez-Pastor, Francesc, Tryfonos, Olga, Uribe, Sergio E., Hanisch, Marcel, Krois, Joachim
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Published: Multidisciplinary Digital Publishing Institute 2022
Online Access:https://hdl.handle.net/1721.1/144430

Internet

https://hdl.handle.net/1721.1/144430

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