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DEEP CONVOLUTIONAL NEURAL NETWORKS FOR IMAGING DATA BASED SURVIVAL ANALYSIS OF RECTAL CANCER

Recent radiomic studies have witnessed promising performance of deep learning techniques in learning radiomic features and fusing multimodal imaging data. Most existing deep learning based radiomic studies build predictive models in a setting of pattern classification, not appropriate for survival a...

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Detalhes bibliográficos
Publicado no:Proc IEEE Int Symp Biomed Imaging
Main Authors: Li, Hongming, Boimel, Pamela, Janopaul-Naylor, James, Zhong, Haoyu, Xiao, Ying, Ben-Josef, Edgar, Fan, Yong
Formato: Artigo
Idioma:Inglês
Publicado em: 2019
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6955095/
https://ncbi.nlm.nih.gov/pubmed/31929858
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ISBI.2019.8759301
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