Automated opportunistic screening for osteoporosis using deep learning-based automatic segmentation and radiomics on proximal femur images from low-dose abdominal CT

Automated opportunistic screening for osteoporosis using deep learning-based automatic segmentation and radiomics on proximal femur images from low-dose abdominal CT

Abstract Rationale and objectives To establish an automated osteoporosis detection model based on low-dose abdominal CT (LDCT). This model combined a deep learning-based automatic segmentation of the proximal femur with a radiomics-based bone status classification. Materials and methods A total of 4...

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Bibliographic Details
Main Authors: Changyu Du, Jian He, Qiye Cheng, Mengting Hu, Jingyi Zhang, Jiageng Shen, Shigeng Wang, Yijun Liu, Jianying Li, Wei Wei
Format: Article
Language:English
Published: BMC 2025-04-01
Series:BMC Musculoskeletal Disorders
Subjects:
Osteoporosis
Automatic detection
Radiomics
Deep learning
Bone mineral density
Opportunistic screening
Online Access:https://doi.org/10.1186/s12891-025-08631-x
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