Automatic selection of localized region-based active contour models using image content analysis applied to brain tumor segmentation
Brain tumor segmentation is a routine process in a clinical setting and provides useful information for diagnosis and treatment planning. Manual segmentation, performed by physicians or radiologists, is a time-consuming task due to the large quantity of medical data generated presently. Hence, autom...
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Veröffentlicht in: | Computers in biology and medicine 2017-12, Vol.91, p.69-79 |
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