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Grab-cut Algorithm in Machine Learning for Diagnosing Melanoma

R. Veeralakshmi1 , T. Ratha Jeyalakshmi2

Section:Research Paper, Product Type: Journal Paper
Volume-07 , Issue-16 , Page no. 51-54, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7si16.5154

Online published on May 18, 2019

Copyright © R. Veeralakshmi, T. Ratha Jeyalakshmi . 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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IEEE Style Citation: R. Veeralakshmi, T. Ratha Jeyalakshmi, “Grab-cut Algorithm in Machine Learning for Diagnosing Melanoma,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.16, pp.51-54, 2019.

MLA Style Citation: R. Veeralakshmi, T. Ratha Jeyalakshmi "Grab-cut Algorithm in Machine Learning for Diagnosing Melanoma." International Journal of Computer Sciences and Engineering 07.16 (2019): 51-54.

APA Style Citation: R. Veeralakshmi, T. Ratha Jeyalakshmi, (2019). Grab-cut Algorithm in Machine Learning for Diagnosing Melanoma. International Journal of Computer Sciences and Engineering, 07(16), 51-54.

BibTex Style Citation:
@article{Veeralakshmi_2019,
author = {R. Veeralakshmi, T. Ratha Jeyalakshmi},
title = {Grab-cut Algorithm in Machine Learning for Diagnosing Melanoma},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {07},
Issue = {16},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {51-54},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1277},
doi = {https://doi.org/10.26438/ijcse/v7i16.5154}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i16.5154}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1277
TI - Grab-cut Algorithm in Machine Learning for Diagnosing Melanoma
T2 - International Journal of Computer Sciences and Engineering
AU - R. Veeralakshmi, T. Ratha Jeyalakshmi
PY - 2019
DA - 2019/05/18
PB - IJCSE, Indore, INDIA
SP - 51-54
IS - 16
VL - 07
SN - 2347-2693
ER -

           

Abstract

Collected data directly from examples, data, and past experience is called Machine Learning. Cancer diagnosing could be an extremely difficult field in Machine Learning. Skin cancer is nothing but it be a dangerous disease associated it’s found as an uncontrolled growth of abnormal skin cells. Image enhancement method is utilized to remove unwanted scales (median filtering and salt and pepper technique) in image. Then the projected methodology helps in the section of cancer footage. Finally, Principal component Analysis is employed to concentrates on the melanoma’s exists and Grab cut methodology is utilized for the feature extraction of melanoma mole from skin.

Key-Words / Index Term

Machine Learning, Melanoma, grab- Cut, Median filtering, Segmentation, Preprocessing

References

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