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Deep Convolutional Neural Network and 3D Deformable Approach for Tissue Segmentation in Musculoskeletal Magnetic Resonance Imaging

PURPOSE: To describe and evaluate a new fully automated musculoskeletal tissue segmentation method using deep convolutional neural network (CNN) and three-dimensional (3D) simplex deformable modeling to improve the accuracy and efficiency of cartilage and bone segmentation within the knee joint. MET...

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Pubblicato in:Magn Reson Med
Autori principali: Liu, Fang, Zhou, Zhaoye, Jang, Hyungseok, Samsonov, Alexey, Zhao, Gengyan, Kijowski, Richard
Natura: Artigo
Lingua:Inglês
Pubblicazione: 2017
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC6271435/
https://ncbi.nlm.nih.gov/pubmed/28733975
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mrm.26841
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