Pre-diagnosis of skin cancer using Image Processing

Pre-diagnosis of skin cancer using Image Processing

Registration ID: IJNRD_183463

Published ID: IJNRD2210109

DOI: Click Here to Get

Mithilesh.B

melanoma, skin disorderss, malignant, segmentation, feature extraction, color variation.

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.

Published Paper   E-Certificate

"Pre-diagnosis of skin cancer using Image Processing ", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.7, Issue 10, page no.898-904, October-2022, Available :https://ijnrd.org/papers/IJNRD2210109.pdf

Volume 7 Issue 10, October-2022

Pages : 898-904

Paper Reg. ID: IJNRD_183463

Published Paper Id: IJNRD2210109

Downloads: 000121133

Research Area: Bio Medical Engineering 

Country: PONDICHERRY, PONDICHERRY, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2210109.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2210109

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

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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