A deep learning and similarity-based hierarchical clustering approach for pathological stage prediction of papillary renal cell carcinoma

Papillary renal cell carcinoma (pRCC), which accounts for 10–15% of renal cell carcinomas, is the second most frequent renal cell carcinoma. pRCC patient classification is difficult because of disease heterogeneity, histologic subtypes, and variations in both disease progression and patient outcomes...

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Detalles Bibliográficos
Autores principales: Lee, Sugi, Jung, Jaeeun, Park, Ilkyu, Park, Kunhyang, Kim, Dae-Soo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7533347/
https://www.ncbi.nlm.nih.gov/pubmed/33033583
http://dx.doi.org/10.1016/j.csbj.2020.09.029

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7533347/
https://www.ncbi.nlm.nih.gov/pubmed/33033583
http://dx.doi.org/10.1016/j.csbj.2020.09.029

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