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J Applied Clin Med Phys - 2020 - Alirr - Deep Learning and Level Set Approach For Liver and Tumor Segmentation From CT by Nandhini Sivasubramani is a document available to read on EtoBox.

This document presents a method for automatic segmentation of the liver and tumors from CT scans using a combination of fully convolutional neural networks (FCN) and region-based level set functions. The proposed approach demonstrates high accuracy, achieving Dice scores of 95.6% for liver and 70% for tumor segmentation across different datasets. The method aims to improve surgical planning by providing reliable and objective segmentation, reducing the reliance on manual techniques that can be time-consumin

Author

Nandhini Sivasubramani

Language

EN