Paper Title
DETECTION OF MELANOMA USING ASYMMETRIC FEATURES
Article Identifiers
Authors
AJAY KUMAR YADAV , Pratik Kumar Dubey , Prabhash Singh , Rakesh Kumar
Keywords
Skin Cancer; Melanoma; Preprocessing algorithm;
Abstract
In this research work, Efficient identification of Melanoma with its asymmetric properties is considered and efficiently detect it with the help of preprocessing algorithm and border analysis. Two parameters out of four is chosen in this work. Asymmetric feature and Border feature defined, is calculated efficiently and according to it graphical user interface gives result about Skin Cancer Patches is Malignant or not combine image processing techniques with machine learning or pattern recognition algorithms to assist in the early detection of melanoma. By focusing on specific features known to be associated with melanoma, the method aims to improve the accuracy and efficiency of diagnosis.
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How To Cite
"DETECTION OF MELANOMA USING ASYMMETRIC FEATURES", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 4, page no.f679-f685, April-2024, Available :https://ijnrd.org/papers/IJNRD2404582.pdf
Issue
Volume 9 Issue 4, April-2024
Pages : f679-f685
Other Publication Details
Paper Reg. ID: IJNRD_218980
Published Paper Id: IJNRD2404582
Downloads: 000121111
Research Area: Electronics & Communication Engg.Â
Country: GHAZIABAD, UTTAR PRADESH, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2404582.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404582
About Publisher
Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
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
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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