UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR1907L77


Registration ID:
222953

Page Number

167-176

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Title

A Deep Learning Approach to Universal Skin Disease Classification

Abstract

Lot of skin diseases are common nowadays because of different infection to body. Proposed work will demonstrate the classification of skin diseases using proposed implementation using MATLAB. Matlab is one of the leading software which helps us to design and analyze proposed system for skin disease classification. We used deep learning algorithm for skin disease classification which is based on autoencoders. Two level autoencoder shows better performance compared to the existing state of art techniques. Proposed system is analyzed by both subjective and objective analysis and proved that proposed work performs better in case of huge dataset also

Key Words

skin diseases, deep learning, image classification, auto encoders

Cite This Article

"A Deep Learning Approach to Universal Skin Disease Classification", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.167-176, June 2019, Available :http://www.jetir.org/papers/JETIR1907L77.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"A Deep Learning Approach to Universal Skin Disease Classification", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp167-176, June 2019, Available at : http://www.jetir.org/papers/JETIR1907L77.pdf

Publication Details

Published Paper ID: JETIR1907L77
Registration ID: 222953
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 167-176
Country: VIZAG, AP, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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