A deep learning model, NAFNet, predicts adverse pathology and recurrence in prostate cancer using MRIs
Abstract We aimed to apply a potent deep learning network, NAFNet, to predict adverse pathology events and biochemical recurrence-free survival (bRFS) based on pre-treatment MRI imaging. 514 prostate cancer patients from six tertiary hospitals throughout China from 2017 and 2021 were included. A tot...
| Main Authors: | , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-12-01
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| Series: | npj Precision Oncology |
| Online Access: | https://doi.org/10.1038/s41698-023-00481-x |