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Implementation of Lung Cancer Detection & Recommendation of Oncologist Using Machine Learning

Nachiket Kelkar1 , Niraj Mate2 , Atharv Kukade3 , Abhijit Kulkarni4 , Pradnya Mehta5

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-5 , Page no. 467-471, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i5.467471

Online published on May 31, 2019

Copyright © Nachiket Kelkar, Niraj Mate, Atharv Kukade, Abhijit Kulkarni, Pradnya Mehta . 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: Nachiket Kelkar, Niraj Mate, Atharv Kukade, Abhijit Kulkarni, Pradnya Mehta, “Implementation of Lung Cancer Detection & Recommendation of Oncologist Using Machine Learning,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.5, pp.467-471, 2019.

MLA Style Citation: Nachiket Kelkar, Niraj Mate, Atharv Kukade, Abhijit Kulkarni, Pradnya Mehta "Implementation of Lung Cancer Detection & Recommendation of Oncologist Using Machine Learning." International Journal of Computer Sciences and Engineering 7.5 (2019): 467-471.

APA Style Citation: Nachiket Kelkar, Niraj Mate, Atharv Kukade, Abhijit Kulkarni, Pradnya Mehta, (2019). Implementation of Lung Cancer Detection & Recommendation of Oncologist Using Machine Learning. International Journal of Computer Sciences and Engineering, 7(5), 467-471.

BibTex Style Citation:
@article{Kelkar_2019,
author = {Nachiket Kelkar, Niraj Mate, Atharv Kukade, Abhijit Kulkarni, Pradnya Mehta},
title = {Implementation of Lung Cancer Detection & Recommendation of Oncologist Using Machine Learning},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {7},
Issue = {5},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {467-471},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4266},
doi = {https://doi.org/10.26438/ijcse/v7i5.467471}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i5.467471}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4266
TI - Implementation of Lung Cancer Detection & Recommendation of Oncologist Using Machine Learning
T2 - International Journal of Computer Sciences and Engineering
AU - Nachiket Kelkar, Niraj Mate, Atharv Kukade, Abhijit Kulkarni, Pradnya Mehta
PY - 2019
DA - 2019/05/31
PB - IJCSE, Indore, INDIA
SP - 467-471
IS - 5
VL - 7
SN - 2347-2693
ER -

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Abstract

Lung cancer is one of the most prominent and deleterious forms of cancer and affects about 2lakh people every year on an average. On a positive note, Lung Cancer death rates have significantly declined over the past decade due to early detection and treatment. Hence, this system uses CT images for detection of lung cancer. It contains several steps like image acquisition, pre-processing, thresholding, segmentation, feature extraction and detection of the presence and the stage of cancer if it is present. Initially, unwanted noise is removed using filters. In the next step, thresholding is used to perform segmentation and highlight the tumour spots. Using flood fill, and masks on the thresholded image, tumour spots which are isolated from the rest of the image are obtained. Features like area, perimeter and number of tumour spots, etc. are extracted by calculating contours using edge detection. Extracted features are given to the classifier model to detect the presence and hence the stage of existing cancer. The system then goes ahead and generates a report which is sent to the doctor for further analysis.

Key-Words / Index Term

Image Processing, Machine Learning, Preprocessing, Binarization, Segmentation, and Feature extraction

References

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