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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 for diagnosing the disease and monitoring its progression. The automated method aims to eliminate user-dependent classification errors and to improve computational capacity in detecting...
In this study, differences on the replies of autonomic and central nervous system based on physical performance are aimed to be examined during transition from resting state brain network to mental performance demanding states. The effect of mental workload generated by mental arithmetic task after controlled physical performance between amateur sportsmen and sedanters is investigated in terms of...
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