AER-Net: Attention-Enhanced Residual Refinement Network for Nuclei Segmentation and Classification in Histology Images

The acurate segmentation and classification of nuclei in histological images are crucial for the diagnosis and treatment of colorectal cancer. However, the aggregation of nuclei and intra-class variability in histology images present significant challenges for nuclei segmentation and classification....

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Detalhes bibliográficos

Principais autores:	Ruifen Cao, Qingbin Meng, Dayu Tan, Pijing Wei, Yun Ding, Chunhou Zheng
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-11-01
coleção:	Sensors
Assuntos:	histology images deep learning nuclei segmentation nuclei classification
Acesso em linha:	https://www.mdpi.com/1424-8220/24/22/7208
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