Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software
Reference56 articles.
1. An implementation of normal distribution based segmentation and entropy controlled features selection for skin lesion detection and classification;Khan;BMC Cancer,2018
2. Skin lesion segmentation and recognition using multichannel saliency estimation and M-SVM on selected serially fused features;Akram;J. Ambient Intell. Human. Comput.,2018
3. M.A. Khan, T. Akram, M. Sharif, K. Javed, M. Rashid, and S.A.C. Bukhari, "An integrated framework of skin lesion detection and recognition through saliency method and optimal deep neural network features selection," Neural Comput. Appl., pp. 1–20.
4. Melanocytic and nevus lesion detection from diseased dermoscopic images using fuzzy and wavelet techniques;Jamil;Soft Comput.,2018
5. Construction of saliency map and hybrid set of features for efficient segmentation and classification of skin lesion;Khan;Microsc. Res. Tech.,2019
Cited by
112 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