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To get fully advantage of edge position data in coarse segmentation benefits, we smoothed the PBR using a Gaussian filter having a rectangle window of
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Tables one and a couple of summarized 6 coarse segmentation results from the U-Net Using the created UGLS technique in extracting the OC from retinal fundus photos plus the still left and proper lungs from Xray photos, respectively. As demonstrated by the effects, the U-Web reached a relatively low overall performance in segmenting the OC depicted on fundus photographs (due to the higher similarity in between the OD and OC locations), by using a normal DS, MCC, SEN and HSD of 0.
In order to avoid the look of elaborate community constructions, we acquire an uncertainty guided deep learning method (UGLS) With this analyze based on a current community (
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