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Abstract #2232

Deep learning-based tumor segmentation from postoperative MRI

Jingpeng Li1,2, Jonas Vardal3,4, Inge Groote1, and Atle Bjornerud1,2
1Computational Radiology and Artificial Intelligence, Oslo University Hospital, Oslo, Norway, 2Department of Physics, University of Oslo, Oslo, Norway, 3The Intervention Centre, Oslo University Hospital, Oslo, Norway, 4Faculty of Medicine, University of Oslo, Oslo, Norway


To accurately detect and localize postoperative tumor after surgery is of critical importance to postoperative patient management and survial rate. We propose a fully automated end-to-end coarse-to-fine segmentation approach for the segmentation of posoperative tumor.

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