UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 11 | November 2026

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Published in:

Volume 10 Issue 12
December-2023
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2312164


Registration ID:
529567

Page Number

b534-b539

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Title

SKIN DISEASE CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORK

Abstract

The skin being the largest organ in the human body, comprises the epidermis, dermis, subcutaneous tissues, blood vessels, lymphatic vessels, nerves, muscles etc. Allergies, Pigmentation, Fungal development, bacteria, and microbes are some of the major grounds for the causation of several variations of skin diseases in humans. Such infections have chances of worsening as time progresses if proper treatment is not provided immediately. Hence, skin diseases or infections must be nursed promptly with the aim of avoiding the proliferation of such illnesses which might have fatal repercussions in the future. Advanced techniques and procedures for the classification of such illnesses based on Artificial Intelligence and machine learning models are now in increasing demand in the industry. But not all of them are freely available for the commoners. For that reason, the proponents came up with the suggestion of a Convolutional Neural Networks (CNN) based model for the identification of different skin diseases. We introduce a multiclass CNN model that helps categorize Healthy skin and skin being affected by 23 different classes of skin diseases. Our Purpose of the project is to detect the category of skin disease easily with increased accuracy. The first stage includes the image of the skin illness being subjected to various kinds of pre-processing techniques which is followed by feature extraction. Then the second stage involves Deep learning algorithms to identify diseases on the basis of analyzation and observation of the skin. The proposed system is highly beneficial in rural areas where access to dermatologists is limited.

Key Words

CNN, Feature extraction, Deep Learning, Skin diseases, Fast API

Cite This Article

"SKIN DISEASE CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 12, page no.b534-b539, December-2023, Available :http://www.jetir.org/papers/JETIR2312164.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

"SKIN DISEASE CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 12, page no. ppb534-b539, December-2023, Available at : http://www.jetir.org/papers/JETIR2312164.pdf

Publication Details

Published Paper ID: JETIR2312164
Registration ID: 529567
Published In: Volume 10 | Issue 12 | Year December-2023
DOI (Digital Object Identifier):
Page No: b534-b539
Country: Mumbai, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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