Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel Graphs
Author:
Affiliation:
1. Beihang University,State Key Laboratory of Software Development Environment,Beijing,China
2. Salesforce AI Research,California,USA
3. Didi Chuxing,Beijing,China
4. University of Illinois Chicago,Illinois,USA
5. Lehigh University,Pennsylvania,USA
Funder
Natural Science Foundation of Beijing Municipality
Fundamental Research Funds for the Central Universities
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10415628/10415561/10415748.pdf?arnumber=10415748
Reference42 articles.
1. Automatic Skin Lesion Segmentation Using Deep Fully Convolutional Networks With Jaccard Distance
2. SDI+: A Novel Algorithm for Segmenting Dermoscopic Images
3. Automatic Skin Lesion Segmentation on Dermoscopic Images by the Means of Superpixel Merging
4. Saliency-CCE: Exploiting colour contextual extractor and saliency-based biomedical image segmentation
5. A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation
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