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- W2379565581 abstract "A SVM based method is proposed aimed to perform the auto-segmentation of the left ventricle MRI image. The first and the most important step is to recognize and localize the target region that contains the left ventricle in the original two dimensional image with SVM. In this step an improved method is used to increase the recognize ratio. In the next step, a multi-localization thinking has been introduced to localize the edge areas, and a multi-level SVM is also introduced to improve the recognition ratio. Then within these exact regions, the gradient method is used to find the edge points and through connecting them to make out the margin of the target. The segmentation can also be preformed by other methods such as Level Set, and take the central region that can be auto formed through the recognized area in the first step as the initial contour. Experiment result proofs the advanced method, and the auto segmentation procedures do bring the following experiments lots of convenience." @default.
- W2379565581 created "2016-06-24" @default.
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- W2379565581 date "2003-01-01" @default.
- W2379565581 modified "2023-09-25" @default.
- W2379565581 title "SVM Based Auto Detection and Segmentation of the Left Ventricle MRI Image" @default.
- W2379565581 hasPublicationYear "2003" @default.
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