Enhancing Spinal Metastasis Detection and Feature Evaluation on Computed Tomography Scans Using Deep‐Learning Systems

Enhancing Spinal Metastasis Detection and Feature Evaluation on Computed Tomography Scans Using Deep‐Learning Systems

Spinal metastases can result in pathological fractures, which reduce survival time and quality of life. Physician experience significantly influences the detection of spinal metastases and the evaluation of associated features. This study aims to develop a deep‐learning system (DLS) for automatic de...

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Main Authors: Zhiyu Wang, Guangyu Yao, Shengyuan Xu, Yifeng Gu, Yujie Chang, Jing Sun, Jingyi Guo, Shiqi Peng, Bolin Lai, Xiaoyun Zhang, Chunbin Wang, Haiying Jiang, Surong Chen, Yanfeng Wang, Ya Zhang, Yuehua Li, Hui Zhao
Format: Article
Language:English
Published: Wiley 2025-08-01
Series:Advanced Intelligent Systems
Subjects:
computed tomographies (CTs)
deep‐learning systems
feature evaluations
multireaders multicases
spinal metastasis detections
Online Access:https://doi.org/10.1002/aisy.202400956
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https://doi.org/10.1002/aisy.202400956

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