Cutaneous Melanoma Skin Cancer Analysis Using Threshold Image Segmentation Techniques

Dr. Vimalkumar P , Dr. C.Balasubramanian

Cutaneous Melanoma Skin Cancer, Image Acquisition, Image Pre-Processing, Image Segmentation, ABCD Rule, Cutaneous Melanoma Skin Cancer Detection.

Medical image processing is one of the most difficult subfields in the dynamic field of image processing research. The internal parts of the human body are imaged using medical imaging techniques in order to aid in diagnosis. Uncontrolled proliferation of abnormal skin cells is known as skin cancer, one of the most serious skin illnesses. Sunshine's UV radiation is the cause of it. The most dangerous kind of skin cancer is cutaneous melanoma. The suggested method uses image processing techniques to diagnose Cutaneous Melanoma Skin Cancer. The analysis of digital lesion images has been conducted using several techniques such as image acquisition, pre-processing, and segmentation. The impacted area of the input skin image is extracted using the image segmentation technique. After the skin lesion region is extracted the ABCD (Asymmetry, Border, Color and Diameter) features and TDS (Total Dermatoscope Value) are calculated. The experimental results are evaluated and the Cutaneous Melanoma Skin Cancer is diagnosed based on the TDS values of the image.

Published Paper   E-Certificate

"Cutaneous Melanoma Skin Cancer Analysis Using Threshold Image Segmentation Techniques", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 2, page no.203 - 210, February-2024, Available :https://ijsdr.org/papers/IJSDR2402030.pdf

Volume 9 Issue 2, February-2024

Pages : 203 - 210

Paper Reg. ID: IJSDR_210058

Published Paper Id: IJSDR2402030

Downloads: 000347214

Research Area: Computer Engineering 

Country: Virudhunagar, Tamilnadu, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2402030

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2402030

DOI: https://doi.org/10.5281/zenodo.12665026

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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