Tumor detection in breast cancer pathology patches using a Multi-scale Multi-head Self-attention Ensemble Network on Whole Slide Images

Breast cancer (BC) is the most common type of cancer among women globally and is one of the leading causes of cancer-related deaths among women. In the diagnosis of BC, histopathological assessment is the gold standard, where automated tumor detection technologies play a pivotal role. Utilizing Conv...

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Detalhes bibliográficos

Principais autores:	Ruigang Ge, Guoyue Chen, Kazuki Saruta, Yuki Terata
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2024-12-01
Colecção:	Machine Learning with Applications
Assuntos:	Convolutional neural network Convolutional self-attention Ensemble model Multi-scale Tumor detection
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2666827024000689
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