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Liver imaging features by convolutional neural network to predict the metachronous liver metastasis in stage I-III colorectal cancer patients based on preoperative abdominal CT scan
Abstract Background Introducing deep learning approach to medical images has rendered a large amount of un-decoded information into usage in clinical research. But mostly, it has been focusing on the performance of the prediction modeling for disease-related entity, but not on the clinical implicati...
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| Auteurs principaux: | , , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
BMC
2020-09-01
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| Collection: | BMC Bioinformatics |
| Sujets: | |
| Accès en ligne: | http://link.springer.com/article/10.1186/s12859-020-03686-0 |
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