Segmentation and diagnosis of anterior cruciate ligament tear using deep learning and radiomics based on knee CT

We developed a CT based artificial intelligence system that could perform ACL segmentation and tears diagnosis. It had high accuracy and convenience, and was of great significance in clinical practice.

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Publication Details

Journal
BMC Medical Imaging
Published
2026-03-24
DOI
https://doi.org/10.1186/s12880-026-02297-0
Primary Topic
Knee injuries and reconstruction techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Segmentation and diagnosis of anterior cruciate ligament tear using deep learning and radiomics based on knee CT

BMC Medical Imaging
Knee injuries and reconstruction techniques
article

Segmentation and diagnosis of anterior cruciate ligament tear using deep learning and radiomics based on knee CT

article en

Abstract

We developed a CT based artificial intelligence system that could perform ACL segmentation and tears diagnosis. It had high accuracy and convenience, and was of great significance in clinical practice.

BMC Medical Imaging
Fuling Center Hospital of Chongqing (CN), Chongqing Emergency Medical Center (CN), Chongqing Medical University (CN)
Openalex Percentile: Top 10%
Knee injuries and reconstruction techniques
DOIOpen Access PDFOpenAlex
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Segmentation and diagnosis of anterior cruciate ligament tear using deep learning and radiomics based on knee CT · BMC Medical Imaging (2026) | TGRS Research Map | TGRS