Automatic Feature Selection for Improved Interpretability on Whole Slide Imaging

Automatic Feature Selection for Improved Interpretability on Whole Slide Imaging

Deep learning methods are widely used for medical applications to assist medical doctors in their daily routine. While performances reach expert’s level, interpretability (highlighting how and what a trained model learned and why it makes a specific decision) is the next important challenge that dee...

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Bibliographic Details
Main Authors: Antoine Pirovano, Hippolyte Heuberger, Sylvain Berlemont, SaÏd Ladjal, Isabelle Bloch
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Machine Learning and Knowledge Extraction
Subjects:
histopathology
WSI classification
explainability
interpretability
heat-maps
Online Access:https://www.mdpi.com/2504-4990/3/1/12

Internet

https://www.mdpi.com/2504-4990/3/1/12

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