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Interactive knee cartilage extraction using efficient segmentation software: data from the osteoarthritis initiative
2014
Bio-medical materials and engineering
In medical image segmentation, manual segmentation is considered both labor- and time-intensive while automated segmentation often fails to segment anatomically intricate structure accordingly. Interactive segmentation can tackle shortcomings reported by previous segmentation approaches through user intervention. To better reflect user intention, development of suitable editing functions is critical. In this paper, we propose an interactive knee cartilage extraction software that covers three
doi:10.3233/bme-141137
pmid:25227024
fatcat:4u3o7vk4mfhxloaqstj4unjtqi