Author:
Barman Manisha,Choudhury J. Paul,Biswas Susanta
Publisher
Springer Nature Switzerland
Reference22 articles.
1. Nurhudatiana, A.: A computer-aided diagnosis system for vitiligo assessment: a segmentation algorithm. In: Intan, R., Chi, CH., Palit, H., Santoso, L. (eds.) ICSIIT 2015. CCIS, vol. 516, pp. 323–331. Springer, Heidelberg (2015). https://doi.org/10.1007/978-3-662-46742-8_30
2. Das, N., Pal, A., Mazumder, S., Sarkar, S., Gangopadhyay, D., Nasipuri, M.: An SVM based skin disease identification using Local Binary Patterns 978-0-7695-5033-6/13 $26.00. In: Third International Conference on Advances in Computing and Communications. IEEE (2013). https://doi.org/10.1109/ICACC.2013.48
3. Surovi, N.A., Kiber, A., Kashem, A., Babi, K.N.: Study and development of algorithm of different skin diseases analysis using image processing method. Asian J. Biomed. Pharm. Sci. 7(60), 1–3 (2017)
4. Wei, L., Gan, Q., Ji, T.: Skin disease recognition method based on image color and texture features. Hindawi Comput. Math. Methods Med., 1–10 (2018). Article no. 8145713, 10 p.
5. Kolkur, S., Kalbande, D.R., Kharkar, V.: Machine learning approaches to multi-class human skin disease detection. Int. J. Comput. Intell. Res. 14(1), 29–39 (2018). ISSN 0973-1873