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A Survey on Diagnosis of Lunger Cancer Diseases Using Machine Leanring Approaches

Rekha Awasthi1 , Vaibhav Chandrakar2 , Vijayant Verma3 , Poonam Gupta4

Section:Survey Paper, Product Type: Journal Paper
Volume-7 , Issue-3 , Page no. 371-374, Mar-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i3.371374

Online published on Mar 31, 2019

Copyright © Rekha Awasthi, Vaibhav Chandrakar, Vijayant Verma, Poonam Gupta . 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: Rekha Awasthi, Vaibhav Chandrakar, Vijayant Verma, Poonam Gupta, “A Survey on Diagnosis of Lunger Cancer Diseases Using Machine Leanring Approaches,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.3, pp.371-374, 2019.

MLA Style Citation: Rekha Awasthi, Vaibhav Chandrakar, Vijayant Verma, Poonam Gupta "A Survey on Diagnosis of Lunger Cancer Diseases Using Machine Leanring Approaches." International Journal of Computer Sciences and Engineering 7.3 (2019): 371-374.

APA Style Citation: Rekha Awasthi, Vaibhav Chandrakar, Vijayant Verma, Poonam Gupta, (2019). A Survey on Diagnosis of Lunger Cancer Diseases Using Machine Leanring Approaches. International Journal of Computer Sciences and Engineering, 7(3), 371-374.

BibTex Style Citation:
@article{Awasthi_2019,
author = {Rekha Awasthi, Vaibhav Chandrakar, Vijayant Verma, Poonam Gupta},
title = {A Survey on Diagnosis of Lunger Cancer Diseases Using Machine Leanring Approaches},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2019},
volume = {7},
Issue = {3},
month = {3},
year = {2019},
issn = {2347-2693},
pages = {371-374},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3847},
doi = {https://doi.org/10.26438/ijcse/v7i3.371374}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i3.371374}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3847
TI - A Survey on Diagnosis of Lunger Cancer Diseases Using Machine Leanring Approaches
T2 - International Journal of Computer Sciences and Engineering
AU - Rekha Awasthi, Vaibhav Chandrakar, Vijayant Verma, Poonam Gupta
PY - 2019
DA - 2019/03/31
PB - IJCSE, Indore, INDIA
SP - 371-374
IS - 3
VL - 7
SN - 2347-2693
ER -

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Abstract

In the field of Healthcare, cancer finding is the testing issues and furthermore a considerable lot of the exploration has centered to enhance the performance to get satisfactory outcomes in the specific territory. To analyze a Lung cancer is a troublesome errand in medical research. To beat this testing errand, the numerous analysts use data mining methods were connected to predict the many kind of disease. In this examination we studied and make compression of various classifications to classify and predict the lung cancer illness.

Key-Words / Index Term

Lung Cancer Detection, Segmentation, Feature Extraction and Classification

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