Development and validation of AI-based automatic segmentation and measurement of thymus on chest CT scans

Development and validation of AI-based automatic segmentation and measurement of thymus on chest CT scans

Abstract Background Due to the complex anatomical structure and dynamic involution process of the thymus, segmentation and evaluation of the thymus in medical imaging present significant challenges. The aim of this study is to develop a deep-learning tool “Thy-uNET” for automatic segmentation and me...

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Main Authors: Yusheng Guo, Bingxin Gong, Guowei Jiang, Wang Du, Shuangfeng Dai, Qi Wan, Dongyong Zhu, Chanyuan Liu, Yi Li, Qing Sun, Qianqian Fan, Bo Liang, Lian Yang, Chuansheng Zheng
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Medical Imaging
Subjects:
Thymus gland
Thymus neoplasms
Artificial intelligence
Neural networks
Deep learning
Online Access:https://doi.org/10.1186/s12880-025-01783-1
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https://doi.org/10.1186/s12880-025-01783-1

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