ASYMMETRY ANALYSIS FOR DIAGNOSIS OF MALIGNANT MELANOMA
Author(s):
G.Sreeja, Ardra George, Harikrishnan M Nair
Keywords:
Skin Cancer, ABCD rule, asymmetry analysis, diagnosis.
Abstract
Malignant melanoma which is known as Skin cancer is the uncontrolled growth of abnormal skin cells. It occurs when unrepaired DNA damages to skin cells triggers mutations or genetic defects that lead the skin cells to multiply rapidly and form malignant tumours. Incidence of skin cancers has been increasing since the last few decades worldwide. Early detection of skin cancer has the potential to reduce mortality and morbidity. Image processing techniques used for skin cancer detection are based on the well known ABCD analysis. This paper proposes a method which helps in finding asymmetry of the images. In this paper different digital images are tested using MATLAB R2013a.Results obtained shows the feasibility of the proposed method for skin cancer diagnosis.
Article Details
Unique Paper ID: 143312

Publication Volume & Issue: Volume 2, Issue 10

Page(s): 60 - 66
Article Preview & Download


Share This Article

Conference Alert

NCSST-2021

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2021

SWEC- Management

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2021

Go To Issue



Call For Paper

Volume 9 Issue 10

Last Date for paper submitting for March Issue is 25 March 2023

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies