Entropy-Regularized Attention for Explainable Histological Classification with Convolutional and Hybrid Models

Entropy-Regularized Attention for Explainable Histological Classification with Convolutional and Hybrid Models

Deep learning models such as convolutional neural networks (CNNs) and vision transformers (ViTs) perform well in histological image classification, but often lack interpretability. We introduce a unified framework that adds an attention branch and CAM Fostering, an entropy-based regularizer, to impr...

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Bibliographic Details
Main Authors: Pedro L. Miguel, Leandro A. Neves, Alessandra Lumini, Giuliano C. Medalha, Guilherme F. Roberto, Guilherme B. Rozendo, Adriano M. Cansian, Thaína A. A. Tosta, Marcelo Z. do Nascimento
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Entropy
Subjects:
attention branches
CAM Fostering
convolutional neural networks
vision transformers
Grad-CAM
histological images
Online Access:https://www.mdpi.com/1099-4300/27/7/722
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