Boosting Hand-Crafted Features for Curvilinear Structure Segmentation by Learning Context Filters
نویسندگان
چکیده
منابع مشابه
Supervised Feature Learning for Curvilinear Structure Segmentation
We present a novel, fully-discriminative method for curvilinear structure segmentation that simultaneously learns a classifier and the features it relies on. Our approach requires almost no parameter tuning and, in the case of 2D images, removes the requirement for hand-designed features, thus freeing the practitioner from the time-consuming tasks of parameter and feature selection. Our approac...
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