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Machine Learning for Diagnosis of Hematologic Diseases in Magnetic Resonance Imaging of Lumbar Spines

We aimed to assess feasibility of a support vector machine (SVM) texture classifier to discriminate pathologic infiltration patterns from the normal bone marrows in MRI. This retrospective study included 467 cases, which were split into a training (n = 360) and a test set (n = 107). A sagittal T1-we...

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Библиографические подробности
Опубликовано в: :Sci Rep
Главные авторы: Hwang, Eo-Jin, Jung, Joon-Yong, Lee, Seul Ki, Lee, Sung-Eun, Jee, Won-Hee
Формат: Artigo
Язык:Inglês
Опубликовано: Nature Publishing Group UK 2019
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Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC6465258/
https://ncbi.nlm.nih.gov/pubmed/30988360
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-42579-y
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