UGC Approved Journal no 63975(19)

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

Volume 10 Issue 8
August-2023
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2308013


Registration ID:
522622

Page Number

a83-a87

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Title

Classification of Skin Diseases Using CNN and Image Processing

Abstract

The most common illnesses worldwide are those related to the skin. Despite being frequent, diagnosis is exceedingly challenging and necessitates substantial domain knowledge. We offer a method to identify distinct forms of these diseases in this research. We employed computer vision and machine learning as two separate steps to precisely detect illnesses. The project's goal is to identify the type of skin illness and provide the appropriate treatment quickly and accurately.

Key Words

Ham10000, image processing, CNN, ResNet50, Xception, Skin Disease Classification.

Cite This Article

"Classification of Skin Diseases Using CNN and Image Processing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 8, page no.a83-a87, August-2023, Available :http://www.jetir.org/papers/JETIR2308013.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

"Classification of Skin Diseases Using CNN and Image Processing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 8, page no. ppa83-a87, August-2023, Available at : http://www.jetir.org/papers/JETIR2308013.pdf

Publication Details

Published Paper ID: JETIR2308013
Registration ID: 522622
Published In: Volume 10 | Issue 8 | Year August-2023
DOI (Digital Object Identifier):
Page No: a83-a87
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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