HIGHLIGHTS
- who: Samuel Fransson from the Department of Medical Physics, Uppsala University Hospital, Uppsala, Sweden have published the Article: Patient specific deep learning based segmentation for magnetic resonance guided prostate radiotherapy, in the Journal: (JOURNAL)
- what: Mitigating the problem of scarcity of data the authors propose patient specific networks trained on single dataset for each patient for contouring onto the following datasets in an adaptive MR-Linacworkflow. This approach has not been tried in this context but is an evident candidate for evolution of this framework, possibly yielding continuously more accurate models for each fraction.
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