LAD-GCN: Automatic diagnostic framework for quantitative estimation of growth patterns during clinical evaluation of lung adenocarcinoma

Quantitative estimation of growth patterns is important for diagnosis of lung adenocarcinoma and prediction of prognosis. However, the growth patterns of lung adenocarcinoma tissue are very dependent on the spatial organization of cells. Deep learning for lung tumor histopathological image analysis...

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Detalles Bibliográficos
Autores principales: Xiao, Wei, Jiang, Yanyun, Yao, Zhigang, Zhou, Xiaoming, Sui, Xiaodan, Zheng, Yuanjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Physiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399647/
https://www.ncbi.nlm.nih.gov/pubmed/36035486
http://dx.doi.org/10.3389/fphys.2022.946099

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399647/
https://www.ncbi.nlm.nih.gov/pubmed/36035486
http://dx.doi.org/10.3389/fphys.2022.946099

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