Optimizing Neuro-Fuzzy and Colonial Competition Algorithms for Skin Cancer Diagnosis in Dermatoscopic Images
Author:
Affiliation:
1. The University of Tulsa,Department of Computer Science,Tulsa,United States
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10541316/10541349/10541825.pdf?arnumber=10541825
Reference19 articles.
1. A low-cost FPGA-based SVM classifier for melanoma detection
2. The possibility of deep learning-based;Fujisawa;computer-aided skin tumor classifiers. Frontiers in Medicine,2019
3. Automatic Lesion Detection System (ALDS) for Skin Cancer Classification Using SVM and Neural Classifiers
4. Research on Skin Cancer Cell Detection Using Image Processing
5. A robust method for skin cancer diagnosis based on interval analysis
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