Cross-Domain Data Augmentation for Deep-Learning-Based Male Pelvic Organ Segmentation in Cone Beam CT

Cross-Domain Data Augmentation for Deep-Learning-Based Male Pelvic Organ Segmentation in Cone Beam CT

For prostate cancer patients, large organ deformations occurring between radiotherapy treatment sessions create uncertainty about the doses delivered to the tumor and surrounding healthy organs. Segmenting those regions on cone beam CT (CBCT) scans acquired on treatment day would reduce such uncerta...

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Bibliographic Details
Main Authors: Jean Léger, Eliott Brion, Paul Desbordes, Christophe De Vleeschouwer, John A. Lee, Benoit Macq
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Applied Sciences
Subjects:
segmentation
deep-learning
deformable image registration
cone beam ct
pelvis
prostate cancer
radiotherapy
cnn
u-net
Online Access:https://www.mdpi.com/2076-3417/10/3/1154

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