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

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 predict th...

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Detalles Bibliográficos
Autores principales: Wan, Qi, Ren, Xiang, Wei, Ran, Yue, Shali, Wang, Lixiang, Yin, Hongbo, Tang, Jing, Zhang, Ming, Ma, Ke, Deng, Ying-ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10239131/
https://www.ncbi.nlm.nih.gov/pubmed/37268878
http://dx.doi.org/10.1186/s12575-023-00207-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10239131/
https://www.ncbi.nlm.nih.gov/pubmed/37268878
http://dx.doi.org/10.1186/s12575-023-00207-0

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