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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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| Veröffentlicht in: | Proc IEEE Int Symp Biomed Imaging |
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| Hauptverfasser: | , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2019
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| Schlagworte: | |
| Online Zugang: | 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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