Exploring prognostic indicators in the pathological images of ovarian cancer based on a deep survival network

Background: Tumor pathology can assess patient prognosis based on a morphological deviation of tumor tissue from normal. Digitizing whole slide images (WSIs) of tissue enables the use of deep learning (DL) techniques in pathology, which may shed light on prognostic indicators of cancers, and avoid b...

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Detalles Bibliográficos
Autores principales: Wu, Meixuan, Zhu, Chengguang, Yang, Jiani, Cheng, Shanshan, Yang, Xiaokang, Gu, Sijia, Xu, Shilin, Wu, Yongsong, Shen, Wei, Huang, Shan, Wang, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9846244/
https://www.ncbi.nlm.nih.gov/pubmed/36685892
http://dx.doi.org/10.3389/fgene.2022.1069673

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9846244/
https://www.ncbi.nlm.nih.gov/pubmed/36685892
http://dx.doi.org/10.3389/fgene.2022.1069673

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