Source-free unsupervised adaptive segmentation for knee joint MRI

Author:

Li SiyueORCID,Zhao Shutian,Zhang Yudong,Hong Jin,Chen WeitianORCID

Funder

Chinese University of Hong Kong

Innovation and Technology Commission

Publisher

Elsevier BV

Reference65 articles.

1. Deep convolutional neural network for segmentation of knee joint anatomy;Zhou;Magn Reson Med,2018

2. K-means Clustering in Knee Cartilage Classification: Data from the OAI;Yin;Indonesian Journal of Electrical Engineering and Informatics (IJEEI),2020

3. Segmentation of joint and musculoskeletal tissue in the study of arthritis;Pedoia;MAGMA,2016

4. Segmentation of knee MRI data with convolutional neural networks for semi-automated three-dimensional surface-based analysis of cartilage morphology and composition;Kessler;Osteoarthritis Imaging,2022

5. Generalizability of Deep Learning Segmentation Algorithms for Automated Assessment of Cartilage Morphology and MRI Relaxometry;Schmidt;J Magn Reson Imaging,2022

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