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Scientific article
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Deep learning-based Auto-segmentation of Organs at Risk in High-Dose Rate Brachytherapy of Cervical Cancer

Published inRadiotherapy and Oncology, vol. 159, p. 231-240
Publication date2021
Abstract

Delineation of organs at risk (OARs), such as the bladder, rectum and sigmoid, plays an important role in the delivery of optimal absorbed dose to the target owing to the steep gradient in high-dose rate brachytherapy (HDR-BT). In this work, we propose a deep convolutional neural network-based approach for fast and reproducible auto-contouring of OARs in HDR-BT.

Keywords
  • Deep learning
  • High-dose rate brachytherapy
  • Segmentation
  • Locally-advanced cervical cancer
Citation (ISO format)
MOHAMMADI, Reza et al. Deep learning-based Auto-segmentation of Organs at Risk in High-Dose Rate Brachytherapy of Cervical Cancer. In: Radiotherapy and Oncology, 2021, vol. 159, p. 231–240. doi: 10.1016/j.radonc.2021.03.030
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ISSN of the journal0167-8140
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Creation04/21/2021 12:13:00 PM
First validation04/21/2021 12:13:00 PM
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