Deep learning applications in automatic segmentation and reconstruction in CT-based cervix brachytherapy

Volume: 13, Issue: 3, Pages: 325 - 330
Published: Jan 1, 2021
Abstract
Motivated by recent advances in deep learning, the purpose of this study was to investigate a deep learning method in automatic segment and reconstruct applicators in computed tomography (CT) images for cervix brachytherapy treatment planning.U-Net model was developed for applicator segmentation in CT images. Sixty cervical cancer patients with Fletcher applicator were divided into training data and validation data according to ratio of 50 : 10,...
Paper Details
Title
Deep learning applications in automatic segmentation and reconstruction in CT-based cervix brachytherapy
Published Date
Jan 1, 2021
Volume
13
Issue
3
Pages
325 - 330
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