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Different Techniques for Skin Cancer Detection Using Dermoscopy Images

S.S. Mane1 , S.V. Shinde2

  1. Dept. of IT, Pimpri Chinchwad College of Engineering, (SPPU University), Pune, India.
  2. Dept. of IT, Pimpri Chinchwad College of Engineering, (SPPU University), Pune, India.

Correspondence should be addressed to: soniyamane17@gmail.com.

Section:Review Paper, Product Type: Journal Paper
Volume-5 , Issue-12 , Page no. 159-163, Dec-2017

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v5i12.159163

Online published on Dec 31, 2017

Copyright © S.S. Mane, S.V. Shinde . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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How to Cite this Paper

IEEE Style Citation: S.S. Mane, S.V. Shinde, “Different Techniques for Skin Cancer Detection Using Dermoscopy Images,” International Journal of Computer Sciences and Engineering, Vol.5, Issue.12, pp.159-163, 2017.

MLA Style Citation: S.S. Mane, S.V. Shinde "Different Techniques for Skin Cancer Detection Using Dermoscopy Images." International Journal of Computer Sciences and Engineering 5.12 (2017): 159-163.

APA Style Citation: S.S. Mane, S.V. Shinde, (2017). Different Techniques for Skin Cancer Detection Using Dermoscopy Images. International Journal of Computer Sciences and Engineering, 5(12), 159-163.

BibTex Style Citation:
@article{Mane_2017,
author = {S.S. Mane, S.V. Shinde},
title = {Different Techniques for Skin Cancer Detection Using Dermoscopy Images},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {12 2017},
volume = {5},
Issue = {12},
month = {12},
year = {2017},
issn = {2347-2693},
pages = {159-163},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1596},
doi = {https://doi.org/10.26438/ijcse/v5i12.159163}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v5i12.159163}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1596
TI - Different Techniques for Skin Cancer Detection Using Dermoscopy Images
T2 - International Journal of Computer Sciences and Engineering
AU - S.S. Mane, S.V. Shinde
PY - 2017
DA - 2017/12/31
PB - IJCSE, Indore, INDIA
SP - 159-163
IS - 12
VL - 5
SN - 2347-2693
ER -

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Abstract

Now a days, most dangerous form of disease is melanoma. Melanoma is type of skin cancer that develops from melanocytic cells. Due to malignancy feature melanoma skin cancer is also known as malignant melanoma. Melanoma cancers have various stages which will increase the death rate of patients. So early detection and treatment of melanoma implicate higher chances of cure. Traditional methods for detecting skin cancer are painful, invasive and time consuming. Therefore, in order to overcome the above stated issues different techniques used for skin cancer detection. These techniques works on image so there is no physical contact with skin, so this is non-invasive. These techniques use Image Processing tools for the detection of Melanoma Skin Cancer. These techniques first pre-process the skin image which is followed by image segmentation. Feature extraction is performed on segmented lesion. The extracted features are used to classify the image as normal skin and melanoma cancer lesion.

Key-Words / Index Term

Image Pre-processing, Segmentation, Feature Extraction, Classification, Melanoma Skin Cancer

References

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