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)
The use of photos from a standard camera to automatically identify melanoma that are malignant is a revolutionary technique. As a pre-screening system for the early diagnosis, this type of automated system would be very beneficial to dermatologists. A significant lot of research has been done in this field on dermoscopy images, but little focus has been placed on creating an expert system for diagnosis utilising photos from conventional cameras. Also taking into account the possibility that dermoscopy may not be readily available to the general public, this work focuses primarily on applying the algorithm to photos captured by a camera. The suggested approach utilises pre-processed pictures that have undergone lesion segmentation and feature extraction. To identify variation in the photos, morphological traits such as asymmetry, border irregularity, and colour variation are extracted. Consequently, skin cancer can be identified and the dangers connected with it can be somewhat diminished.
Keywords:
melanoma, skin disorderss, malignant, segmentation, feature extraction, color variation.
Cite Article:
"Pre-diagnosis of skin cancer using Image Processing ", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 10, page no.898-904, October-2022, Available :http://www.ijnrd.org/papers/IJNRD2210109.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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