SurvCNN: A Discrete Time-to-Event Cancer Survival Estimation Framework Using Image Representations of Omics Data

The utility of multi-omics in personalized therapy and cancer survival analysis has been debated and demonstrated extensively in the recent past. Most of the current methods still suffer from data constraints such as high-dimensionality, unexplained interdependence, and subpar integration methods. H...

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Bibliographic Details
Main Authors: Yogesh Kalakoti, Shashank Yadav, Durai Sundar
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Cancers
Subjects:
CNN
Online Access:https://www.mdpi.com/2072-6694/13/13/3106