Article

Automatic multi-object organ detection and segmentation in abdominal CT data

2020-03-20

Abstract excerpt

The ability to generate 3D patient models in a fast and reliable way, is of great importance, e.g. for the simulation of liver punctures in virtual reality simulations. The aim is to automatically detect and segment abdominal structures in CT scans. In particular in the selected organ group, the pancreas poses a challenge. We use a combination of random regression forests and 2D U-Nets to detect bounding boxes and...

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Literature Corpus work: c5b3e41c-1043-5b8e-8ae3-6ffc6e7fa0f5
DOI: 10.1101/2020.03.17.20036053

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