Fully automated MR liver volumetry using watershed segmentation coupled with active contouring.

Huynh Trung HieuNgoc Le-TrongPham The BaoAytek OtoKenji Suzuki

Published in: International journal of computer assisted radiology and surgery (2016)

We developed a fully automated liver volumetry scheme in MR, which does not require any interaction by users. It was evaluated with cases from multiple medical centers. The liver volumetry performance of our developed system was comparable to that of the gold standard manual volumetry, and it saved radiologists' time for manual liver volumetry of 24.7 min per case.

Keyphrases

deep learning
high throughput
healthcare
magnetic resonance
computed tomography
contrast enhanced
convolutional neural network