Work

Feasibility of Fully Automatic Assessment of Cervical Canal Stenosis at MRI Using Deep Learning

Year: 2025

Type: conference-paper

Source: Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition

DOI: 10.58530/2025/3132

Authors: YAYING ZHANG, Xiaochen Feng, Panpan Yang, Yu Luo, Kai Cao, Yifan lv, Hailin Xu

Language: English

Topic: Medical Imaging and Analysis

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4414233068

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