Integration of modified ABCD features and support vector machine for skin lesion types classification

Author:

Melbin K.,Raj Y. Jacob Vetha

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference44 articles.

1. Adegun A, Viriri S (2020) Deep learning techniques for skin lesion analysis and melanoma cancer detection: a survey of state-of-the-art. Artificial Intelligence Review pp 1–31

2. Akar M, Sirakov NM (2019) Support vector machine skin lesion classification in Clifford algebra subspaces. Appl Math 64(5):581–598

3. Akram T, Lodhi HMJ, Naqvi SR, Naeem S, Alhaisoni M, Ali M, Haider SA, Qadri NN (2020) A multilevel features selection framework for skin lesion classification. Hum Cent Comput Inf Sci 10:12

4. Ansari MA, Anand RS (2007) Region-based segmentation and image analysis with application to medical imaging. In: IET-UK International Conference on Information and Communication Technology in Electrical Sciences (ICTES 2007), p 724–729

5. Barata C, Celebi ME, Marques JS (2014) Improving dermoscopy image classification using color constancy. IEEE J Biomed Health Inform 19(3):1146–1152

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