MRI-based automated multitask deep learning system to evaluate supraspinatus tendon injuries.

Ming NiYuqing ZhaoLihua ZhangWen ChenQizheng WangChunyan TianHuishu Yuan

Published in: European radiology (2023)

• A detailed classification of supraspinatus tendon tears can help clinical decision-making. • Deep learning enables the detailed classification of supraspinatus tendon injuries. • The proposed automated multitask deep learning system is comparable to radiologists.

Keyphrases

deep learning
rotator cuff
artificial intelligence
convolutional neural network
machine learning
decision making
computed tomography
magnetic resonance
high throughput