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

• Main Authors: Peng, Peng, Wu, Danping, Huang, Li-Jun, Wang, Jianqiang, Zhang, Li, Wu, Yue, Jiang, Yizhang, Lu, Zhihua, Lai, Khin Wee, Xia, Kaijian
• Format: Article
• Published: Springer Heidelberg 2024
• Subjects: R Medicine (General); T Technology (General)
• Online Access: http://eprints.um.edu.my/46033/; https://doi.org/10.1007/s12539-023-00580-0

Breast cancer is commonly diagnosed with mammography. Using image segmentation algorithms to separate lesion areas in mammography can facilitate diagnosis by doctors and reduce their workload, which has important clinical significance. Because large, accurately labeled medical image datasets are dif...