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

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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