The ugls Diaries
The ugls Diaries
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We formulated a uncertainty guided deep Finding out strategy (UGLS) to improve the general performance of existing segmentation neural networks and validated it based upon the classical U-Web by segmenting the OC from color fundus photographs as well as left and right lungs from Xray images. The novelty of our made strategy lies inside the introduction of boundary uncertainty maps and their integration with the enter pictures for precise impression segmentation.
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Tables 1 and 2 summarized six coarse segmentation final results of your U-Internet While using the produced UGLS strategy in extracting the OC from retinal fundus photos and the left and appropriate lungs from Xray pictures, respectively. As demonstrated by the results, the U-Web realized a comparatively minimal overall performance in segmenting the OC depicted on fundus ugls photos (mainly because of the large similarity amongst the OD and OC areas), using a common DS, MCC, SEN and HSD of 0.
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This may be a complicated procedure, mainly because what could be a very good UGL right now, could become a bad UGL tomorrow. A foul UGL could read more possibly be poor for lots of motives.
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