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

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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Dades bibliogràfiques
Autors principals: Sugi Lee, Jaeeun Jung, Ilkyu Park, Kunhyang Park, Dae-Soo Kim
Format: Article
Idioma:English
Publicat: Elsevier 2020-01-01
Col·lecció:Computational and Structural Biotechnology Journal
Matèries:
Deep learning
Papillary renal cell carcinoma
Pathological tumour stage
Similarity-based hierarchical clustering
Accés en línia:http://www.sciencedirect.com/science/article/pii/S200103702030413X

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http://www.sciencedirect.com/science/article/pii/S200103702030413X

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