SurvCNN: A Discrete Time-to-Event Cancer Survival Estimation Framework Using Image Representations of Omics Data
Published in Cancers, 2021
Proposes SurvCNN, an image-based representation framework using convolutional neural networks for time-to-event cancer survival modeling from multi-omics data.
Recommended citation: Kalakoti, Y., Yadav, S., Sundar, D. (2021). "SurvCNN: A Discrete Time-to-Event Cancer Survival Estimation Framework Using Image Representations of Omics Data." Cancers. 13(13), 3106. https://doi.org/10.3390/cancers13133106