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  Published Paper Details:

  Paper Title

Skin Diseases Detection and Classification using Deep Learning Algorithm Convolutional Neural Network

  Authors

  Sai Srinivas Vellela,  Khader Basha Sk,  Venkateswara Reddy B

  Keywords

Skin is the most powerful protection of important organs in the human body. It acts as a shield to protect our internal body to get damaged. But this important part of the human body can be affected by so serious infections caused by some fungus or viruses or even dust too. Around the world, millions of people suffer from various skin diseases. From acne problems to eczema people suffer a lot. Sometimes a small boil on the skin can turn into a severe issue or even an infection that will cause a

  Abstract


Skin is the most powerful protection of important organs in the human body. It acts as a shield to protect our internal body to get damaged. But this important part of the human body can be affected by so serious infections caused by some fungus or viruses or even dust too. Around the world, millions of people suffer from various skin diseases. From acne problems to eczema people suffer a lot. Sometimes a small boil on the skin can turn into a severe issue or even an infection that will cause a major health issue. Some skin issues are so contagious that one can be affected by another just with a handshake or using a handkerchief.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT1135177

  Paper ID - 241427

  Page Number(s) - 177-181

  Pubished in - Volume 5 | Issue 3 | September 2017

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Sai Srinivas Vellela,  Khader Basha Sk,  Venkateswara Reddy B,   "Skin Diseases Detection and Classification using Deep Learning Algorithm Convolutional Neural Network", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.5, Issue 3, pp.177-181, September 2017, Available at :http://www.ijcrt.org/papers/IJCRT1135177.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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