Digital Image Processing

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Detection of Skin Diseases using Machine Learning Techniques


Affiliations
1 Department of CSE, BIET, Davangere, India
     

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Skin diseases are the foremost Wide spread diseases. Despite the fact that being Common, distinguishing proof exists exceptionally extreme also requires concentrated ability inside the area. In this paper, we offer associate approach to discover varied kinds of these diseases. Laptop vision and Machine learning are twin stages that we tend to use for identify diseases accurately. Beginning phase of the picture the sickness of the skin is dependent upon various assortments of preprocessing procedures followed by highlight extraction. At that point the following stage includes it utilizes the Machine learning calculations to spot illnesses dependent on the investigating and recognition of the skin. Some of the skin diseases are Psoriasis, Lichen Planus, Eczema, Pityriasis Rosea and Acne.

Keywords

Skin Diseases, Machine Learning, Psoriasis, Lichen Planus, Pityriasis Rosea.
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  • G. RAJASEKARA, N. AISHWARYA, R. KEERT ANA, “Skin illness Identification using Image process and Machine learning Techniques”, International analysis journal of Engineering and Technology (IRJET) volume:07 Issue: 03 Mar 2020.

  • NAMITHA S J, NIKHILESHA, SIDDARTH BELLUR, “Survey on disease of the skin classification models”, International analysis journal of Engineering and Technology (IRJET) vol: 07 Issue: 04 Apr2020.

  • PRAVIN S.AMBAD, A S SHIRSAT, “A Real Time Image analysis to Detect Skin Diseases”, International Journal of Advanced Research in Computer and Communication Engineering, Vol:5 Issue :7 July 2016.

  • JANAK SAWALE, SALONI JADHAV, POONAM GAIKWAD, ASHOK KALAL, ”Skin illness Detection victimisation Neural Network”, International Research journal of engineering and technology (IRJET) ,volume: 06, Issue:11 Nov 2019.

  • JAINESH RATHOD, ”Diagnosis of skin diseases using Convolutional Neural Networks”, Second International Conference on physics , Communication and part Technology (ICECA) 2018.

  • LI-SHENG Wei dynasty, QUAN GAN, "Skin illness Recognition methodology supported Image Color and Texture Features", process and Mathematical Methods in medication, Article ID 8145713,vol 2018.


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  • Detection of Skin Diseases using Machine Learning Techniques

Abstract Views: 162  |  PDF Views: 0

Authors

Navya Gadina
Department of CSE, BIET, Davangere, India
M. C. Arpitha
Department of CSE, BIET, Davangere, India
B. P. Abhishek
Department of CSE, BIET, Davangere, India
K. C. Santosh
Department of CSE, BIET, Davangere, India

Abstract


Skin diseases are the foremost Wide spread diseases. Despite the fact that being Common, distinguishing proof exists exceptionally extreme also requires concentrated ability inside the area. In this paper, we offer associate approach to discover varied kinds of these diseases. Laptop vision and Machine learning are twin stages that we tend to use for identify diseases accurately. Beginning phase of the picture the sickness of the skin is dependent upon various assortments of preprocessing procedures followed by highlight extraction. At that point the following stage includes it utilizes the Machine learning calculations to spot illnesses dependent on the investigating and recognition of the skin. Some of the skin diseases are Psoriasis, Lichen Planus, Eczema, Pityriasis Rosea and Acne.

Keywords


Skin Diseases, Machine Learning, Psoriasis, Lichen Planus, Pityriasis Rosea.

References