Ensemble Learning for Three-dimensional Medical Image Segmentation of Organ at Risk in Brachytherapy Using Double U-Net, Bi-directional ConvLSTM U-Net, and Transformer Network

Ensemble Learning for Three-dimensional Medical Image Segmentation of Organ at Risk in Brachytherapy Using Double U-Net, Bi-directional ConvLSTM U-Net, and Transformer Network

Aim: This article presents a novel approach to automate the segmentation of organ at risk (OAR) for high-dose-rate brachytherapy patients using three deep learning models combined with ensemble learning techniques. It aims to improve the accuracy and efficiency of segmentation. Materials and Methods...

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Bibliographic Details
Main Authors: Soniya Pal, Raj Pal Singh, Anuj Kumar
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2024-12-01
Series:Journal of Medical Physics
Subjects:
brachytherapy
image segmentation
lstm u-net
medical image segmentation
organ at risk
transformer
u-net
Online Access:https://journals.lww.com/10.4103/jmp.jmp_160_24
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