Deep learning classification of uveal melanoma based on histopathological images and identification of a novel indicator for prognosis of patients

Abstract Background Deep learning has been extensively used in digital histopathology. The purpose of this study was to test deep learning (DL) algorithms for predicting the vital status of whole-slide image (WSI) of uveal melanoma (UM). Methods We developed a deep learning model (Google-net) to pre...

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Detalhes bibliográficos

Principais autores:	Qi Wan, Xiang Ren, Ran Wei, Shali Yue, Lixiang Wang, Hongbo Yin, Jing Tang, Ming Zhang, Ke Ma, Ying-ping Deng
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2023-06-01
coleção:	Biological Procedures Online
Assuntos:	Deep learning Histopathological images Prognosis Uveal melanoma Subtype
Acesso em linha:	https://doi.org/10.1186/s12575-023-00207-0
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