Classification of Multiple H&E Images via an Ensemble Computational Scheme

Classification of Multiple H&E Images via an Ensemble Computational Scheme

In this work, a computational scheme is proposed to identify the main combinations of handcrafted descriptors and deep-learned features capable of classifying histological images stained with hematoxylin and eosin. The handcrafted descriptors were those representatives of multiscale and multidimensi...

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Bibliographic Details
Main Authors: Leonardo H. da Costa Longo, Guilherme F. Roberto, Thaína A. A. Tosta, Paulo R. de Faria, Adriano M. Loyola, Sérgio V. Cardoso, Adriano B. Silva, Marcelo Z. do Nascimento, Leandro A. Neves
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Entropy
Subjects:
classification
histological images
deep-learned features
fractal techniques
xAI representation
ensembles
Online Access:https://www.mdpi.com/1099-4300/26/1/34

Internet

https://www.mdpi.com/1099-4300/26/1/34

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