Deep residual network with regularised fisher framework for detection of melanoma
Author:
Affiliation:
1. School of Electrical Sciences, Indian Institute of TechnologyBhubaneswarOdisha752050India
2. School of Computing and Mathematics, Keele UniversityNewcastleST5 5BGUK
Publisher
Institution of Engineering and Technology (IET)
Subject
Computer Vision and Pattern Recognition,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cvi.2018.5238
Reference46 articles.
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3. Computer-Aided Diagnosis of Melanoma Using Border- and Wavelet-Based Texture Analysis
4. Gutman David Codella Noel C.F. Celebi Emre et al: ‘Skin lesion analysis toward melanoma detection: a challenge at the International Symposium on Biomedical Imaging (ISBI) 2016 hosted by the International Skin Imaging Collaboration (ISIC)’. ArXiv preprint arXiv:1605.01397 2016
5. ABCD rule of dermatoscopy: a new practical method for early recognition of malignant melanoma;Stolz W.;Eur. J. Dermatol.,1994
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