Connecting Histopathology Imaging and Proteomics in Kidney Cancer through Machine Learning

Connecting Histopathology Imaging and Proteomics in Kidney Cancer through Machine Learning

Proteomics data encode molecular features of diagnostic value and accurately reflect key underlying biological mechanisms in cancers. Histopathology imaging is a well-established clinical approach to cancer diagnosis. The predictive relationship between large-scale proteomics and H&E-stained...

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Bibliographic Details
Main Authors: Francisco Azuaje, Sang-Yoon Kim, Daniel Perez Hernandez, Gunnar Dittmar
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Journal of Clinical Medicine
Subjects:
artificial intelligence
machine learning
histopathology imaging
proteomics
cancer diagnosis
clear cell renal cell carcinoma
Online Access:https://www.mdpi.com/2077-0383/8/10/1535

Internet

https://www.mdpi.com/2077-0383/8/10/1535

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