Volume & Issue no: Volume 10, Issue 2, March - April 2021
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Title: |
A Review on Melanoma Skin Cancer Detection Using Digital Image Processing |
Author Name: |
Miss. Rupali S. Awhad, Dr. Seema S. Kawathekar |
Abstract: |
Abstract: Melanoma, basal cell carcinoma, and squamous cell
carcinoma are among the different forms of skin cancers.
Melanoma is the most unstable of the melanomas. One of the
most serious diseases in humans is malignant melanoma.
Doctors can be able to treat patients if they are diagnosed early.
Computer vision plays an important role in medical image
diagnosis. The identification of melanoma skin cancer is
accomplished by digital image processing. Thresholding,
Filtering, Feature extraction, Segmentation, and Recognition
are some of the techniques used in this. The system will then
detect the diseased or cancerous area. A segmentation algorithm
that can effectively detect skin melanoma pixels in the
information image is needed. The systems input is a
dermoscopic image, which is then processed using novel image
processing techniques. A series of Dermoscopic Images is used
in pre-processing to detect various stages, and the images are
filtered using Dull Razor filtering to eliminate hairs and air
bubbles in the image. Thresholding techniques are used to
identify the regions area, which is then recognized qualitatively
and quantitatively.
Keywords: Skin cancer, Segmentation, Thresholding, Melanoma
Detection, Digital Image, Carcinoma, feature extraction. |
Cite this article: |
Miss. Rupali S. Awhad, Dr. Seema S. Kawathekar , "
A Review on Melanoma Skin Cancer Detection Using Digital Image Processing" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) ,
Volume 10, Issue 2, March - April 2021 , pp.
029-032 , ISSN 2278-6856.
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