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)
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.
Keywords:
Skin Cancer; Melanoma; Preprocessing algorithm;
Cite Article:
"DETECTION OF MELANOMA USING ASYMMETRIC FEATURES", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.f679-f685, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404582.pdf
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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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