Scientific article
OA Policy
English

Personalized brachytherapy dose reconstruction using deep learning

Published inComputers in Biology and Medicine, vol. 136, 104755
Publication date2021
Abstract

Accurate calculation of the absorbed dose delivered to the tumor and normal tissues improves treatment gain factor, which is the major advantage of brachytherapy over external radiation therapy. To address the simplifications of TG-43 assumptions that ignore the dosimetric impact of medium heterogeneities, we proposed a deep learning (DL)-based approach, which improves the accuracy while requiring a reasonable computation time.

Keywords
  • Brachytherapy
  • Deep learning
  • Dose reconstruction
  • Heterogeneity correction
  • Monte Carlo
Funding
  • Swiss National Science Foundation - SNRF 320030_176052
  • Autre - Fondation privée des HUG RC-06-01.
Citation (ISO format)
AKHAVANALLAF, Azadeh et al. Personalized brachytherapy dose reconstruction using deep learning. In: Computers in Biology and Medicine, 2021, vol. 136, p. 104755. doi: 10.1016/j.compbiomed.2021.104755
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accessLevelPublic
Identifiers
Journal ISSN0010-4825
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Technical informations

Creation11/08/2021 10:59:00
First validation11/08/2021 10:59:00
Update time16/03/2023 01:26:34
Status update16/03/2023 01:26:33
Last indexation15/04/2025 15:40:23
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