Ensemble Learning-Based Solutions: An Approach for Evaluating Multiple Features in the Context of H&E Histological Images

In this paper, we propose an approach based on ensemble learning to classify histology tissues stained with hematoxylin and eosin. The proposal was applied to representative images of colorectal cancer, oral epithelial dysplasia, non-Hodgkin’s lymphoma, and liver tissues (the classification of gende...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Jaqueline J. Tenguam, 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 2024-01-01
Subjects:	ensemble learning handcrafted features deep-learned features two-stage feature selection method histological images
Online Access:	https://www.mdpi.com/2076-3417/14/3/1084