Deep Learning using Pre-Brachytherapy MRI to Automatically Predict Applicator Induced Complex Uterine Deformation-Reference-Cited by-同舟云学术

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Deep Learning using Pre-Brachytherapy MRI to Automatically Predict Applicator Induced Complex Uterine Deformation

Published:2022-07-11 Issue: Volume: Page:
ISSN:
Container-title:2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Ghosh Shrimanti¹,Punithakumar Kumaradevan¹,Huang Fleur²,Menon Geetha²,Boulanger Pierre¹

Affiliation:

1. University of Alberta,Department of Computing Science,Edmonton,Canada

2. University of Alberta,Department of Oncology,Edmonton,Canada

Funder

Women and Children's Health Research Institute

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9870821/9870822/09871157.pdf?arnumber=9871157

Reference11 articles.

1. A novel flexible framework with automatic feature correspondence optimization for nonrigid registration in radiotherapy

2. Deformable structure registration of bladder through surface mapping

3. U-net: Convolutional networks for biomedical image segmentation;ronneberger;MICCAI,0

4. Modeling Complex Deformations of the Sigmoid Colon Between External Beam Radiation Therapy and Brachytherapy Images of Cervical Cancer

5. Non-rigid Shape Registration: A Single Linear Least Squares Framework

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Ensemble Approach for Uterine Pathology Classification in MRI Imaging Using Deep Learning;2023 International Conference on Sustainable Communication Networks and Application (ICSCNA);2023-11-15

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