UGC CARE norms ugc approved journal norms IJRTI Research Journal

WhatsApp
Click Here

International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.14

Issue per Year : 12

Volume Published : 8

Issue Published : 84

Article Submitted : 7748

Article Published : 3948

Total Authors : 10260

Total Reviewer : 547

Total Countries : 81

Indexing Partner

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: Skin Disease Detection Using Deep Learning
Authors Name: Srushti , Varshitha Makam , Sushmitha Shet , Swathi V A
Download E-Certificate: Download
Author Reg. ID:
IJRTI_181308
Published Paper Id: IJRTI2008003
Published In: Volume 5 Issue 8, August-2020
DOI:
Abstract: Dermatology is one of the most unpredictable and difficult terrains to diagnose due to its complexity. In most developing countries, it is expensive for a large number of people. According to World Health Organization (WHO), skin diseases are the most common non-communicable diseases in India. The ubiquitous use of smartphones in developing countries like India has opened up new avenues for inexpensive diagnosis of diseases. The camera in smartphones can used to exploit the image processing capabilities of the device for diagnosis. The proposed system deals with the creation of an application that helps in diagnosis of Skin disease. It uses image processing and machine learning technology to detect diseases. The system consists of 2 parts- image processing and the machine learning. The image processing part deals with applying various filters to the images to remove noise and make them uniform. It is necessary to remove the unwanted elements from the image before processing else it will affect the output efficiency. The Machine learning part deals with the processing of data and generation of result.
Keywords:
Cite Article: "Skin Disease Detection Using Deep Learning", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.5, Issue 8, page no.12 - 16, August-2020, Available :http://www.ijrti.org/papers/IJRTI2008003.pdf
Downloads: 000202436
ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2008003
Registration ID:181308
Published In: Volume 5 Issue 8, August-2020
DOI (Digital Object Identifier):
Page No: 12 - 16
Country: Dakshina Kannada, Karnataka, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2008003
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2008003
Share Article:

Share Facebook Twitter Google+ Pinterest LinkedIn Email Tumblr WhatsApp Google Gmail

Click Here to Download This Article

Article Preview
Click Here to Download This Article
Major Indexing from www.ijrti.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

ISSN Details

ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI.ONE
How to Get DOI?

Conference

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Social Media

Join RMS/Earn 300
IJRTI

Indexing Partner
Copyright © 2023 - All Rights Reserved - IJRTI