17 citations · 26 across the 7 of their papers we have counts for
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cs.CV2021★ 1 cited
Superpixel-guided Iterative Learning from Noisy Labels for Medical Image Segmentation
Shuailin Li, Zhitong Gao, Xuming He
Learning segmentation from noisy labels is an important task for medical image analysis due to the difficulty in acquiring highquality annotations. Most existing methods neglect th…
cs.CV2021
Weakly Supervised Volumetric Segmentation via Self-taught Shape Denoising Model
Qian He, Shuailin Li, Xuming He
Weakly supervised segmentation is an important problem in medical image analysis due to the high cost of pixelwise annotation. Prior methods, while often focusing on weak labels of…