Automated skin lesion segmentation using K-Means clustering from digital dermoscopic images
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/8053872/8075917/08076087.pdf?arnumber=8076087
Cited by 31 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Pipelined Structure in the Classification of Skin Lesions Based on Alexnet CNN and SVM Model With Bi-Sectional Texture Features;IEEE Access;2024
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3. ABT-GAMNet: A novel adaptive Boundary-aware transformer with Gated attention mechanism for automated skin lesion segmentation;Biomedical Signal Processing and Control;2023-07
4. Improving accuracy of convolutional neural network-based skin lesion segmentation using group normalization and combined loss function;International Journal of Information Technology;2023-06
5. A survey, review, and future trends of skin lesion segmentation and classification;Computers in Biology and Medicine;2023-03
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