A deep learning and similarity-based hierarchical clustering approach for pathological stage prediction of papillary renal cell carcinoma-Reference-Cited by-同舟云学术

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

Published:2020 Issue: Volume:18 Page:2639-2646
ISSN:2001-0370
Container-title:Computational and Structural Biotechnology Journal
language:en
Short-container-title:Computational and Structural Biotechnology Journal

Author:

Lee Sugi,Jung Jaeeun,Park Ilkyu,Park Kunhyang,Kim Dae-Soo

Funder

Ministry of Education, Science and Technology

Korea Research Institute of Bioscience and Biotechnology

National Research Foundation of Korea

Publisher

Elsevier BV

Subject

Computer Science Applications,Genetics,Biochemistry,Structural Biology,Biophysics,Biotechnology

Reference39 articles.

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3. Muglia VF, Prando A. Renal cell carcinoma: histological classification and correlation with imaging findings. Radiol Bras 2015;48:166–74. doi: 10.1590/0100-3984.2013.1927.

4. Arik D, Açikalin MF, Can C. Papillary renal cell carcinoma and collecting duct carcinoma combination. A case report and review of synchronous renal cell carcinoma subtypes in the same kidney. Arch Med Sci 2015;11:686–90. doi: 10.5114/aoms.2015.52378.

5. Human cancer classification: a systems biology- based model integrating morphology, cancer stem cells, proteomics, and genomics;Idikio;J Cancer,2011

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