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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Detalles Bibliográficos
Autores principales: Hwang, Eo-Jin, Jung, Joon-Yong, Lee, Seul Ki, Lee, Sung-Eun, Jee, Won-Hee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6465258/
https://www.ncbi.nlm.nih.gov/pubmed/30988360
http://dx.doi.org/10.1038/s41598-019-42579-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6465258/
https://www.ncbi.nlm.nih.gov/pubmed/30988360
http://dx.doi.org/10.1038/s41598-019-42579-y

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