A deep learning model to predict Ki-67 positivity in oral squamous cell carcinoma

A deep learning model to predict Ki-67 positivity in oral squamous cell carcinoma

Anatomical pathology is undergoing its third revolution, transitioning from analogical to digital pathology and incorporating new artificial intelligence technologies into clinical practice. Aside from classification, detection, and segmentation models, predictive models are gaining traction since t...

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Bibliographic Details
Main Authors: Francesco Martino, Gennaro Ilardi, Silvia Varricchio, Daniela Russo, Rosa Maria Di Crescenzo, Stefania Staibano, Francesco Merolla
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Journal of Pathology Informatics
Subjects:
OSCC
Ki-67
Prediction
Deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2153353923001682
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