Automated Segmentation of MS Lesions in MR Images Based on an Information Theoretic Clustering and Contrast Transformations

Magnetic Resonance Imaging (MRI) plays a significant role in the current characterization and diagnosis of multiple sclerosis (MS) in radiological imaging. However, early detection of MS lesions from MRI still remains a challenging problem. In the present work, an information theoretic approach to c...

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Ngā kaituhi matua:	Jason Hill, Kevin Matlock, Brian Nutter, Sunanda Mitra
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	MDPI AG 2015-06-01
Rangatū:	Technologies
Ngā marau:	segmentation unsupervised learning information theoretic clustering contrast transformations magnetic resonance images multiple sclerosis lesions
Urunga tuihono:	http://www.mdpi.com/2227-7080/3/2/142
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!