Classifying Skin Lesions: A Survey of Approaches in Skin Cancer Diagnosis
Author:
Affiliation:
1. Deemed to be University,Department of CSE Vignan’s Foundation for Science, Technology, and Research,Guntur,AP,India
2. Deemed to be University,Department of ACSE Vignan’s Foundation for Science, Technology, and Research,Guntur,AP,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10607378/10607379/10607595.pdf?arnumber=10607595
Reference24 articles.
1. Dermatologist-level classification of skin cancer with deep neural networks
2. Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks
3. Skin cancer segmentation with the aid of multi-class dilated D-net (MD2N) framework
4. A three-tier BERT based transformer framework for detecting and classifying skin cancer with HSCGS algorithm
5. The Epidemiology of Automatic Skin Cancer Detection by Comparative Analysis of Pre-processing and Segmentation Techniques
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