Paper Title
Pre-diagnosis of skin cancer using Image Processing
Article Identifiers
Authors
Mithilesh.B
Keywords
melanoma, skin disorderss, malignant, segmentation, feature extraction, color variation.
Abstract
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.
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How To Cite (APA)
Mithilesh.B (October-2022). Pre-diagnosis of skin cancer using Image Processing . INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(10), 898-904. https://ijnrd.org/papers/IJNRD2210109.pdf
Issue
Volume 7 Issue 10, October-2022
Pages : 898-904
Other Publication Details
Paper Reg. ID: IJNRD_183463
Published Paper Id: IJNRD2210109
Downloads: 000121985
Research Area: Bio Medical EngineeringÂ
Country: PONDICHERRY, PONDICHERRY, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2210109.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2210109
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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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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IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.
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Paper Submission Open For: October 2025
Current Issue: Volume 10 | Issue 10 | October 2025
Impact Factor: 8.76
Last Date for Paper Submission: Till 31-Oct-2025
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