A deep learning model based on Mamba for automatic segmentation in cervical cancer brachytherapy

A deep learning model based on Mamba for automatic segmentation in cervical cancer brachytherapy

Abstract This study developed and evaluated an automatic segmentation model based on the Mamba framework (AM-UNet) for rapid and precise delineation of high-risk clinical target volume (HRCTV) and organs at risk (OARs) in cervical cancer brachytherapy. Using 694 CT scans from 179 cervical cancer pat...

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Bibliographic Details
Main Authors: Lele Zang, Jing Liu, Huiqi Zhang, Shitao Zhu, Mingxuan Zhu, Yuqin Wang, Yaxin Kang, Jihong Chen, Qin Xu
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Cervical cancer
Brachytherapy
Auto-segmentation
Deep learning
Computed
Online Access:https://doi.org/10.1038/s41598-025-94431-1
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