UGLS: an uncertainty guided deep learning strategy for accurate image segmentation
Xiaoguo Yang,
Yanyan Zheng,
Chenyang Mei
et al.
Abstract:Accurate image segmentation plays a crucial role in computer vision and medical image analysis. In this study, we developed a novel uncertainty guided deep learning strategy (UGLS) to enhance the performance of an existing neural network (i.e., U-Net) in segmenting multiple objects of interest from images with varying modalities. In the developed UGLS, a boundary uncertainty map was introduced for each object based on its coarse segmentation (obtained by the U-Net) and then combined with input images for the f… Show more
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