Application of Semi-supervised Fuzzy Clustering Based on Knowledge Weighting and Cluster Center Learning to Mammary Molybdenum Target Image Segmentation

Peng, Peng; Wu, Danping; Huang, Lijun; Wang, Jianqiang; Zhang, Li; Wu, Yue; Jiang, Yizhang; Li, Zhihua; Lai, Khin Wee; Xia, Kaijian

doi:10.1007/s12539-023-00580-0

Interdiscip Sci Comput Life Sci

2023

DOI: 10.1007/s12539-023-00580-0

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Application of Semi-supervised Fuzzy Clustering Based on Knowledge Weighting and Cluster Center Learning to Mammary Molybdenum Target Image Segmentation

Peng Peng

Danping Wu

Lijun Huang

et al.

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Application of Semi-supervised Fuzzy Clustering Based on Knowledge Weighting and Cluster Center Learning to Mammary Molybdenum Target Image Segmentation

Cited by 1 publication

References 19 publications

A lie group semi-supervised FCM clustering method for image segmentation

A lie group semi-supervised FCM clustering method for image segmentation

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