International Journal of Scientific & Technology Research

Home About Us Scope Editorial Board Contact Us

IJSTR >> Volume 4 - Issue 1, January 2015 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Expert System For Diagnosis Of Skin Diseases

[Full Text]



A.A.L.C. Amarathunga, E.P.W.C. Ellawala, G.N. Abeysekara, C. R. J. Amalraj



Index Terms: skin disease diagnosis, expert system, image processing, data mining, eczema, impetigo, melanoma, multilayer perceptron



Abstract: Dermatology is a one of major session of medicine that concerned with the diagnosis and treatment of skin diseases. Skin diseases are the most common form of disease in humans. Recently, many of researchers have advocated and developed the imaging of human vision or in the loop approach to visual object recognition. This research paper presents a development of a skin diseases diagnosis system which allows user to identify diseases of the human skin and to provide advises or medical treatments in a very short time period. For this purpose, user will have to upload an image of skin disease to our system and answer questions based on their skin condition or symptoms. It will be used to detect diseases of the skin and offer a treatment recommendation. This system uses technologies such as image processing and data mining for the diagnosis of the disease of the skin. The image of skin disease is taken and it must be subjected to various preprocessing for noise eliminating and enhancement of the image. This image is immediately segmentation of images using threshold values. Finally data mining techniques are used to identify the skin disease and to suggest medical treatments or advice for users. This expert system exhibits disease identification accuracy of 85% for Eczema, 95% for Impetigo and 85% for Melanoma.



[1] Munirah M. Yusof, Ruhaya A. Aziz, and Chew S. Fei - The Development of Online Children Skin Diseases Diagnosis System.

[2] Florence Tushabe, Ernest Mwebaze and Fred N. Kiwanuka - An image based diagnosis of virus and bacterial skin infections.

[3] Anal Kumar MittraandDr. Ranjan Parekh - Automated Detection of Skin Diseases Using Texture Features.

[4] https://play.google.com/store/apps/details?id=com.rubytribe.skinvision

[5] P. K. Buxton (1991) - ABC of Dermatology - Jolly & Barber Ltd, Great Britain, pp. 1-30.

[6] K. Darlington (2000) - The Essence of Expert Systems, Prentice Hall.

[7] A. Rubin (2007) - “Design of an expert system and its application to dermatopathology” - Histopathology, vol. 21, no. 3, pp. 269–274.

[8] Al. Abadi , N. K.; Dahir , N. S.; Alkareem, Z. A. (2008): Skin texture recognition using neural network, in Proceedings of the International Arab Conference on Information Technology, Tunisia, December 16-18, pp.1-4.

[9] Rubegni, P. et al. (2002): Automated Diagnosis on Pigmented Skin Lesions - International Journal on Cancer, 101, pp. 576-580.

[10] Image recognition with neural networks how to - http://neuroph.sourceforge.net/image_recognition.html

[11] RahatYasir, Md. Ashiqur Rahman and Nova Ahmed - Dermatological Disease Detection using Image Processing and Artificial Neural Network.

[12] Bareqa Salah, Mohammad Alshraideh, RashaBeidas and Ferial Hayajneh (2011) - Skin Cancer Recognition by Using a Neuro-Fuzzy System - Cancer Informatics, 2011; Volume 10: 1–11.

[13] Y. Mohanapriya and A. Manjuladevi (2014) - An efficient approach for skin cancer analysis - International Journal of Infinite Innovations in Engineering and Technology - Volume 1 Issue 1.

[14] Damanpreet Kaur and Prabhneet Sandhu - Human Skin Texture Analysis using Image Processing Techniques - International Journal of Science and Research (IJSR), India.

[15] José FernándezAlcón, CalinaCiuhu, Warner ten Kate, Adrienne Heinrich, NatalliaUzunbajakava, GertruudKrekels, Denny Siem, and Gerard de Haan (2009) - Automatic Imaging System With Decision Support for Inspection of Pigmented Skin Lesions and Melanoma Diagnosis - IEEE journal of selected topics in signal processing, vol. 3, no. 1.

[16] Damilola A. Okuboyejo, Oludayo O. Olugbara, and Solomon A. Odunaike (2013) - Automating Skin Disease Diagnosis Using Image Classification - Proceedings of the World Congress on Engineering and Computer Science 2013, Volume II, San Francisco, USA.