TorchEsegeta: Framework for Interpretability and Explainability of Image-Based Deep Learning Models

• Published in: Applied sciences Vol. 12; no. 4; p. 1834
• Main Authors: Chatterjee, Soumick, Das, Arnab, Mandal, Chirag, Mukhopadhyay, Budhaditya, Vipinraj, Manish, Shukla, Aniruddh, Nagaraja Rao, Rajatha, Sarasaen, Chompunuch, Speck, Oliver, Nürnberger, Andreas
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.02.2022
• Subjects: Artificial intelligence; black box; Classification; Decision making; Deep learning; explainability; interpretability; Libraries; model introspection; MRA segmentation; Neural networks; Subject specialists; Trust

Clinicians are often very sceptical about applying automatic image processing approaches, especially deep learning-based methods, in practice. One main reason for this is the black-box nature of these approaches and the inherent problem of missing insights of the automatically derived decisions. In...