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...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:	Applied Sciences
المؤلفون الرئيسيون:	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
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	MDPI AG 2024-01-01
الموضوعات:	ensemble learning handcrafted features deep-learned features two-stage feature selection method histological images
الوصول للمادة أونلاين:	https://www.mdpi.com/2076-3417/14/3/1084

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