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ECR 2019 / C-2866
Cloud-based semi-automated liver segmentation: analytical study to compare its speed and accuracy with a semi-automated workstation based software
Congress: ECR 2019
Poster No.: C-2866
Type: Scientific Exhibit
Keywords: Artificial Intelligence, CT, Segmentation
Authors: V. Venugopal1, A. Chunduru2, M. Barnwal3, D. S. Mahra4, A. Raj2, K. Vaidhya2, A. Rangasai Devalla2, V. Mahajan3, H. Mahajan 3; 1Aligarh/IN, 2Bangalore/IN, 3New Delhi/IN, 4Bengaluru, Karnataka/IN
DOI:10.26044/ecr2019/C-2866

Conclusion

The study shows that liver volumetry post processing can be significantly accelerated by initializing with Deep Learning based segmentation. We compared two setups : (1) Commercial CT Volume Viewer and (2) PredibleLiver. We found PredibleLiver to require lesser time in performing volumetric assessment over 15 studies as the segmentations come pre-initalized using Deep Learning.

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