Automated CAD System for Skin Lesion Diagnosis: A Review
Author:
Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-15-6329-4_26
Reference72 articles.
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2. Abbas Q, Emre Celebi M, Garcia IF, Ahmad W (2013a) Melanoma recognition framework based on expert definition of ABCD for dermoscopic images. Ski Res Technol 19:1–10. https://doi.org/10.1111/j.1600-0846.2012.00614.x
3. Abbas Q, Sadaf M, Akram A (2016) Prediction of dermoscopy patterns for recognition of both melanocytic and non-melanocytic skin lesions. https://doi.org/10.3390/computers5030013
4. Abuzaghleh O, Member S, Barkana BD (2015) Noninvasive real-time automated skin lesion analysis system for melanoma early detection and prevention. 3
5. Ali A, Couceiro MS, Hassenian AE (2014) Melanoma detection using fuzzy c-means clustering coupled with mathematical morphology. 73–78
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