IJNRD Research Journal

WhatsApp
Click Here

WhatsApp editor@ijnrd.org
IJNRD
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (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 : 8.76

Issue per Year : 12

Volume Published : 9

Issue Published : 96

Article Submitted :

Article Published :

Total Authors :

Total Reviewer :

Total Countries :

Indexing Partner

Join RMS/Earn 300

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: Enhancing Dermatological Diagnosis With SVM-Based Skin Cancer Detection In Matlab
Authors Name: Suchithra R , Shruthi S M , Sanjana krishna , Sparsha R , Suhas Bharadwaj R
Download E-Certificate: Download
Author Reg. ID:
IJNRD_214464
Published Paper Id: IJNRD2402344
Published In: Volume 9 Issue 2, February-2024
DOI:
Abstract: Researchers have developed sophisticated systems capable of utilizing computer-based intelligence tools and methods to investigate human disorders, propelled by machines advancing into more skilled domains. Skin disease detection through image processing stands out as a primary focus within this research landscape. The identification of apparent skin infections from aerial photos is on the rise, highlighting the complex challenges in the field. A system of multiclass support vector machines is employed, incorporating various prominent texture and repetitive region features, such as the Grey Level Co-Occurrence Matrix (GLCM), into Support Vector Machines (SVM)-based classifiers to validate skin conditions from photos. The test set exhibited an impressive confirmation accuracy rate of 83.5%, marking a significant step towards establishing India's foremost locally automated benign system for diagnosing skin conditions.
Keywords: Image processing, Machine learning, GLCM, SVM
Cite Article: "Enhancing Dermatological Diagnosis With SVM-Based Skin Cancer Detection In Matlab", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 2, page no.d413-d418, February-2024, Available :http://www.ijnrd.org/papers/IJNRD2402344.pdf
Downloads: 000118769
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 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:IJNRD2402344
Registration ID: 214464
Published In: Volume 9 Issue 2, February-2024
DOI (Digital Object Identifier):
Page No: d413-d418
Country: Mysore, Karnataka, India
Research Area: Information Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2402344
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2402344
Share Article:
Share

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijnrd.org
Semantic Scholar Microsaoft Academic ORCID Zenodo
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX PUBLON
DRJI SSRN Scribd DocStoc

ISSN Details

ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


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

Licence

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

Join RMS/Earn 300

IJNRD