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Comparative Multiple Sclerosis Lesion Segmentation in Magnetic Resonance Images
(IEEE, 2017)
In this study, the unsupervised clustering method namely K-means algorithm is applied for identifying the multiple sclerosis (MS) lesions in magnetic resonance (MR) images automatically. MS lesion detection is essential ...
Comparison of machine learning techniques on MS lesion segmentation
(Institute of Electrical and Electronics Engineers Inc., 2019)
Multiple sclerosis arises with conformational change in myelin sheath. Magnetic resonance imaging is frequently used in detection of MS. In this study, to figure out MS lesion, machine learning techniques, namely k means ...