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)
Skin cancer is an existence-threatening ailment that calls for early detection and accurate prognosis for powerful remedies. This abstract affords a technique for diagnosing skin most cancers with the usage of image-processing techniques implemented in MATLAB. High-resolution pics of affected skin regions are obtained with the usage of advanced imaging modalities, and pre-processing techniques are implemented to beautify the photograph's high quality. Features along with texture, color, and shape are extracted from the pictures to capture distinct traits of skin lesions. Machine learning algorithms are then hired to categorize the lesions as benign or malignant. These algorithms are skilled on a dataset of annotated skin cancer pictures, permitting them to examine the styles related to extraordinary lesion sorts. The proposed technique gives correct class results, as confirmed by using assessment metrics. This automated system has the capability to enhance the performance and accuracy of pores and skin cancer analysis, assisting in early detection and improving patient care.
"Diagnosis of Skin Cancer Using Image Processing", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.i125-i131, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305816.pdf
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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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