Attention-guided convolutional network for bias-mitigated and interpretable oral lesion classification

Abstract Accurate diagnosis of oral lesions, early indicators of oral cancer, is a complex clinical challenge. Recent advances in deep learning have demonstrated potential in supporting clinical decisions. This paper introduces a deep learning model for classifying oral lesions, focusing on accuracy...

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Bibliographic Details
Main Authors:	Adeetya Patel, Camille Besombes, Theerthika Dillibabu, Mridul Sharma, Faleh Tamimi, Maxime Ducret, Peter Chauvin, Sreenath Madathil
Format:	Article
Language:	English
Published:	Nature Portfolio 2024-12-01
Series:	Scientific Reports
Subjects:	Oral lesion diagnosis Interpretability Guided attention inference network Bias mitigation CNN
Online Access:	https://doi.org/10.1038/s41598-024-81724-0
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Attention-guided convolutional network for bias-mitigated and interpretable oral lesion classification

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