Interclass Balance Factor-Based Membership Fusion Semi-Supervised Fuzzy Clustering Algorithm for Lesion Segmentation in Cerebral Infarction Images
Author:
Affiliation:
1. School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu, China
2. Changshu Key Laboratory of Medical Artificial Intelligence and Big Data, Suzhou, Jiangsu, China
Funder
Jiangsu Province ”333 Project” High-Level Talent Cultivation Subsidized Project
Changshu Science and Technology Program
Changshu Key Laboratory of Medical Artificial Intelligence and Big Data
Suzhou Key Supporting Subjects-Health Informatics
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/6287639/10380310/10623235.pdf?arnumber=10623235
Reference37 articles.
1. An automated framework for stroke and hemorrhage detection using decision tree classifier
2. CSNet: A new DeepNet framework for ischemic stroke lesion segmentation
3. Automated segmentation and classification of brain stroke using expectation-maximization and random forest classifier
4. Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges
5. A survey on deep learning in medical image analysis
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