Text-guided multimodal deep learning in magnetic resonance imaging for spinal structures segmentation and lumbar abnormalities identification

This study proposed a text-guided DL method for segmenting spinal structures and identifying lumbar abnormalities in multi-sequence MRI scans. By integrating cross-modal features, our method improved segmentation accuracy and optimized identification performance, demonstrating clinical potential to assist diagnosis through automated workflows that reduce radiologist workload.

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Publication Details

Journal
Quantitative Imaging in Medicine and Surgery
Published
2025-09-24
DOI
https://doi.org/10.21037/qims-2025-635
Primary Topic
Medical Imaging and Analysis
Type
article
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article

Text-guided multimodal deep learning in magnetic resonance imaging for spinal structures segmentation and lumbar abnormalities identification

Xiaopeng Guo, Zhangzhen Shi, Xinran Zhu, Jingxin Liu et al.
Quantitative Imaging in Medicine and Surgery
Medical Imaging and Analysis
article

Text-guided multimodal deep learning in magnetic resonance imaging for spinal structures segmentation and lumbar abnormalities identification

Xiaopeng Guo, Zhangzhen Shi, Xinran Zhu, Jingxin Liu, Kailiang Cheng, Donghong An, Lihui Zu
article en

Abstract

This study proposed a text-guided DL method for segmenting spinal structures and identifying lumbar abnormalities in multi-sequence MRI scans. By integrating cross-modal features, our method improved segmentation accuracy and optimized identification performance, demonstrating clinical potential to assist diagnosis through automated workflows that reduce radiologist workload.

Quantitative Imaging in Medicine and SurgeryVol. 15(10)
Union Hospital (HK), Jilin University (CN), Union Hospital (CN)
Openalex Percentile: Top 75%
Medical Imaging and Analysis
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Text-guided multimodal deep learning in magnetic resonance imaging for spinal structures segmentation and lumbar abnormalities identification — Xiaopeng Guo, Zhangzhen Shi, et al. · Quantitative Imaging in Medicine and Surgery (2025) | TGRS Research Map | TGRS