2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.CV2021★ 2 cited
Distilling effective supervision for robust medical image segmentation with noisy labels
Jialin Shi, Ji Wu
Despite the success of deep learning methods in medical image segmentation tasks, the human-level performance relies on massive training data with high-quality annotations, which a…
cs.CV2019
Pick-and-Learn: Automatic Quality Evaluation for Noisy-Labeled Image Segmentation
Haidong Zhu, Jialin Shi, Ji Wu
Deep learning methods have achieved promising performance in many areas, but they are still struggling with noisy-labeled images during the training process. Considering that the a…