عنوان انگلیسی: Unsupervised Myocardial Segmentation for Cardiac MRI عنوان فارسی: بخش بندی میوکاردیال کنترل نشده برای تصاویر ام آر آی قلبی تعداد صفحات مقاله اصلی: 9 صفحه تعداد صفحات ترجمه: 15 صفحه سال انتشار: 2015 مجله Springer International Publishing Switzerland 2015 Navab et al. (Eds.): MICCAI 2015, Part III, LNCS 9351, pp. 12–20, 2015. DOI: 10.1007/978-3-319-24574-4_2 Though unsupervised segmentation was a de-facto standard for cardiac MRI segmentation early on, recently cardiac MRI segmentation literature has favored fully supervised techniques such as Dictionary Learning and Atlas-based techniques. But, the benefits of unsupervised techniques e.g., no need for large amount of training data and better potential of handling variability in anatomy and image contrast, is more evident with emerging cardiac MR modalities. For example, CP-BOLD is a ...
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