Paper Title
SKIN CANCER DETECTION USING CNN
Article Identifiers
: Authors
Keywords
SKIN CANCER DETECTION USING CNN
Abstract
In comparison to the identification of skin lesions, skin cancer detection is delicate due to remains, minimal disparity, and comparable visuals as intelligencers, scars, etc. Skin cancer is frequently detected in its early stages because it spreads slowly to other body parts and is therefore easier to cure. There are increasingly more instances of terrible carcinoma, the skin cancer that is most fatal. Skin cancer may be challenging to distinguish from skin lesions because of leftovers, little disparity, and similar visualization to an operation, scar, etc. Hence Skin lesions are automatically detected using methods for lesion detection that take into account performance, efficacy, and delicacy requirements. The proposed approach uses point birth using the ABCD principle, GLCM, and overeater point birth as the goal in the early diagnosis of skin lesions. By removing residues, skin colour, hair, and other impurities, pre-processing is used in the proposed study to enhance the skin lesion's appearance and clarity. Segmentation was done using Geodesic Active Contour (GAC), a tool that splits the lesion apart into sections and is also efficient for point birth. The harmony, border, colour, and perimeter features were rated using the ABCD scale. The textural elements were rooted by using Overeater and GLCM. In identifying 7 different types of skin cancer, classifiers use a variety of machine learning methods, including the classifiers SVM, CNN, KNN, and Naive Bayes. For this design, a total of 10015 pictures of malignant skin lesions, benign skin lesions and other types are downloaded from the HAM10000 dataset. Effective and precise bracketing is achieved. They include ABCD, overeater, GLCM, SVM, CNN, KNN, and naive Bayes.
Downloads
How To Cite (APA)
Yasaswi, K.Pavani, B.Tanuja Sri, P.Kushal Sai, & B.Ajit,, L.V.Sri Vandana (April-2023). SKIN CANCER DETECTION USING CNN. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(4), b470-b477. https://ijnrd.org/papers/IJNRD2304167.pdf
Issue
Volume 8 Issue 4, April-2023
Pages : b470-b477
Other Publication Details
Paper Reg. ID: IJNRD_190813
Published Paper Id: IJNRD2304167
Downloads: 000122003
Research Area: Engineering
Author Type: Foreign Author
Country: -, -, -
Published Paper PDF: https://ijnrd.org/papers/IJNRD2304167.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2304167
About Publisher
Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
UGC CARE JOURNAL PUBLICATION | 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 | IJNRD.ORG | IJNRD.COM | IJPUB.ORG
Copyright & License
© 2025 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License. and The Open Definition.
You are free to share, adapt, and redistribute the material, provided proper credit is given to the original author. 🛡️ Disclaimer: The content, data, and findings in this article are based on the authors’ research and have been peer-reviewed for academic purposes only. Readers are advised to verify all information before practical or commercial use. The journal and its editorial board are not liable for any errors, losses, or consequences arising from its use.
Publication Timeline
Article Preview: View Full Paper
Call For Paper
IJNRD is a Scholarly Open Access, Peer-Reviewed, Refereed, and UGC CARE Journal Publication 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, and Transparent Peer Review Journal Publication that adheres to the UGC CARE 2025 Peer-Reviewed Journal Policy and aligns with Scopus Journal Publication standards to ensure the highest level of research quality and credibility.
IJNRD offers comprehensive Journal Publication Services including indexing in all major databases and metadata repositories, Digital Object Identifier (Crossref DOI) assignment for each published article with additional fees, citation generation tools, and full Open Access visibility to enhance global research reach and citation impact.
The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse academic and professional fields. The journal promotes global knowledge exchange among researchers, developers, academicians, engineers, and practitioners, serving as a trusted platform for innovative, peer-reviewed journal publication and scientific collaboration.
Indexing Coverage: Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar (AI-Powered Research Tool), Microsoft Academic, Academia.edu, arXiv.org, ResearchGate, CiteSeerX, ResearcherID (Thomson Reuters), Mendeley, DocStoc, ISSUU, Scribd, and many other recognized academic repositories.
How to submit the paper?
By Our website
Click Here to Submit Paper Online
You can now publish your research in IJNRD. IJNRD is a Transparent Peer-Reviewed Open Access Journal Publication (Refereed Journal), aligning with New UGC and UGC CARE recommendations.
For more details, refer to the official notice: UGC Public Notice
Submit Paper Online
Important Dates for Current issue
Paper Submission Open For: November 2025
Current Issue: Volume 10 | Issue 11 | November 2025
Impact Factor: 8.76
Last Date for Paper Submission: Till 30-Nov-2025
Notification of Review Result: Within 1-2 Days after Submitting paper.
Publication of Paper: Within 01-02 Days after Submititng documents.
Frequency: Monthly (12 issue Annually).
Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.
Subject Category: Research Area
Call for Paper: More Details
Approval, Licenses and Indexing: More Details
