Fuzzy cluster based neural network classifier for classifying breast tumors in ultrasound images
作者：
Highlights：
• New classification approach is developed.
• Proposed approach eliminates ambiguous and doubtful samples from training dataset.
• Proposed approach is used to classify breast tumors in ultrasound images.
• Proposed classifier outperforms conventional ones.
• Proposed method achieves high classification accuracy.
摘要
•New classification approach is developed.•Proposed approach eliminates ambiguous and doubtful samples from training dataset.•Proposed approach is used to classify breast tumors in ultrasound images.•Proposed classifier outperforms conventional ones.•Proposed method achieves high classification accuracy.
论文关键词：Breast cancer,Ambiguous training examples,Breast tumor classification,Ultrasound image,Cluster based classification
论文评审过程：Received 30 January 2016, Revised 8 August 2016, Accepted 5 September 2016, Available online 9 September 2016, Version of Record 13 September 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.09.006
