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Fully Automated Patellofemoral MRI Segmentation using Holistically Nested Networks: Implications for Evaluating Patellofemoral Osteoarthritis, Pain, Injury, Pathology, and Adolescent Development

PURPOSE: Our clinical understanding of the relationship between 3D bone morphology and knee osteoarthritis, as well as our ability to investigate potential causative factors of osteoarthritis, has been hampered by the time intensive nature of manually segmenting bone from MR images. Thus, we aim to...

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書誌詳細
出版年:Magn Reson Med
主要な著者: Cheng, Ruida, Alexandridi, Natalia A., Smith, Richard M., Shen, Aricia, Gandler, William, McCreedy, Evan, McAuliffe, Matthew J., Sheehan, Frances T.
フォーマット: Artigo
言語:Inglês
出版事項: 2019
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC6778709/
https://ncbi.nlm.nih.gov/pubmed/31402520
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mrm.27920
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