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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Bibliografische gegevens
Hoofdauteurs: Balazs Feher, Ulrike Kuchler, Falk Schwendicke, Lisa Schneider, Jose Eduardo Cejudo Grano de Oro, Tong Xi, Shankeeth Vinayahalingam, Tzu-Ming Harry Hsu, Janet Brinz, Akhilanand Chaurasia, Kunaal Dhingra, Robert Andre Gaudin, Hossein Mohammad-Rahimi, Nielsen Pereira, Francesc Perez-Pastor, Olga Tryfonos, Sergio E. Uribe, Marcel Hanisch, Joachim Krois
Formaat: Artikel
Taal:English
Gepubliceerd in: MDPI AG 2022-08-01
Reeks:Diagnostics
Onderwerpen:
artificial intelligence
machine learning
surgery
oral
radiography
cysts
Online toegang:https://www.mdpi.com/2075-4418/12/8/1968

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https://www.mdpi.com/2075-4418/12/8/1968

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