Original paper

Deep Reinforcement Learning for Weakly-Supervised Lymph Node Segmentation in CT Images

Volume: 25, Issue: 3, Pages: 774 - 783
Published: Mar 1, 2021
Abstract
Accurate and automated lymph node segmentation is pivotal for quantitatively accessing disease progression and potential therapeutics. The complex variation of lymph node morphology and the difficulty of acquiring voxel-wise manual annotations make lymph node segmentation a challenging task. Since the Response Evaluation Criteria in Solid Tumors (RECIST) annotation, which indicates the location, length, and width of a lymph node, is commonly...
Paper Details
Title
Deep Reinforcement Learning for Weakly-Supervised Lymph Node Segmentation in CT Images
Published Date
Mar 1, 2021
Volume
25
Issue
3
Pages
774 - 783
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