Deep learning and level set approach for liver and tumor segmentation from CT scans.
Journal:
Journal of applied clinical medical physics
Published Date:
Aug 10, 2020
Abstract
PURPOSE: Segmentation of liver organ and tumors from computed tomography (CT) scans is an important task for hepatic surgical planning. Manual segmentation of liver and tumors is tedious, time-consuming, and biased to the clinician experience. Therefore, automatic segmentation of liver and tumors is highly desirable. It would improve the surgical planning treatments and follow-up assessment.