Analyzing Digital Image by Deep Learning for Melanoma Diagnosis

Author:

Thurnhofer-Hemsi Karl,Domínguez Enrique

Publisher

Springer International Publishing

Reference17 articles.

1. American Cancer Society, I. (ed.): Cancer Facts & Figures 2016. American Cancer Society, Atlanta (2016)

2. Asha Gnana Priya, H., Anitha, J., Poonima Jacinth, J.: Identification of melanoma in dermoscopy images using image processing algorithms. In: 2018 International Conference on Control, Power, Communication and Computing Technologies, ICCPCCT 2018, pp. 553–557 (2018)

3. Bakheet, S.: An SVM framework for malignant melanoma detection based on optimized hog features. Computation 5(1), 4 (2017)

4. Advances in Intelligent Systems and Computing;BM Devassy,2019

5. Hussain, Z., Gimenez, F., Yi, D., Rubin, D.: Differential data augmentation techniques for medical imaging classification tasks. In: AMIA Annual Symposium Proceedings, vol. 2017, p. 979. American Medical Informatics Association (2017)

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