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International Journal of Computer Engineering in Research Trends. Scholarly, Peer-Reviewed,Open Access and Multidisciplinary

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Lung Nodule Detection and Classification using Image Processing Techniques

Ms. Swathi Velugoti, Ms. Revuri Harshini Reddy, Ms. Sadiya Tarannum , Mr. Sama Tharun Kumar Reddy,
Department of Computer Science and Engineering, Guru Nanak Institutions Technical Campus Hyderabad – Telangana, India

Lung cancer is one of the significant reasons for death among India. Many diagnosis and detection of lungs cancer has been done using various data analysis and classification techniques. Since the cause of lung cancer stay obscure, prevention become impossible, thus early detection of tumor in lungs is the only way to cure lung cancer. Hence, lung cancer detection system using image processing and machine learning is used to classify the presence of lung cancer in a CT- images and blood samples. In spite of CT scan reports are more effective than Mammography; therefore patient CT scan images are categorized in normal and abnormal. The abnormal images are subjected to segmentation to focus on tumor portion. Classification done on features extracted from the images. The efficient method to detect the lung cancer and its stages successfully and also aim to have more accurate results by using SVM and Image Processing techniques.

Ms. Swathi Velugoti ,Ms. Revuri Harshini Reddy,Ms. Sadiya Tarannum,Mr. Sama Tharun Kumar Reddy."Lung Nodule Detection and Classification using Image Processing Techniques". International Journal of Computer Engineering In Research Trends (IJCERT) ,ISSN:2349-7084 ,Vol.9, Issue 07,pp.114-119, July - 2022, URL :,

Keywords : Lung Nodule Detection, CT scans, image processing techniques, Support vector machine

[1] Prajwal Rao, Nishal Ancelette Pereira, And Raghuram Srinivasan, “Convolutional Neural Networks For Lung Cancer Screening In Computed Tomography (CT) Scans”, 978-1-5090-5256-1/16/$31.00_C 2016 IEEE
[2] Sheila Ramaswamy, Karen Truong, "Pulmonary Nodule Classification With Convolutional Neural Networks", Stanford University@2016.
[3] Ayman El-Baz, Garth M. Beach, Georgy Gimel’farb, Kenji Suzuki, Kazunori Okada,Ahmed Elnakib, Ahmed Soliman, And Behnoush Abdollahi, “Computer-Aided Diagnosis Systems For Lung Cancer: Challenges And Methodologies” International Journal Of Biomedical Imaging, Article ID 942353, 46 Pages, 2013
[4] Rotem Golan, Christian Jacob, J¨Org Denzinger, "Lung Nodule Detection In CT Images Using Deep Convolutional Neural Networks", 978- 1-5090-0620-5/16/$31.00_C 2016 IEEE
[5] Julie Yang, Si Yong Yeo, Jia Mei Hong, Sum Thai Wong, Wai Teng Tang, Zhen Zhou Wu, Gary Lee, Sulin Chen, Vanessa Ding, Brendan Pang, Andre Choo, Yi Su, “A Deep Learning Approach For Tumor Tissue Image Classification”, Researchgate, DOI: 10.2316/P.2016.832-025, February 2016.
[6] Allison M Rossetto And Wenjin Zhou, "Deep Learning For Categorization Of Lung Cancer CT Images”, 2017 IEEE/ACM International Conference On Connected Health: Applications, Systems And Engineering Technologies (CHASE), 978-1-5090-4722-2/17 $31.00, DOI 10.1109/CHASE.2017.59, © 2017 IEEE.
[7] Jiuxiang Gu, Zhenhua Wang, Jason Kuen, Lianyang Ma, Amir Shahroudy, Bing Shuai, Ting Liu, Xingxing Wang, Li Wang, Gang Wang, Jianfei Cai, Tsuhan Chen, " Recent Advances In Convolutional Neural Networks", Sciencedirect, Pattern Recognition, Vol 77, Pages 354- 377, 2015.
[8] Md. Badrul Alam Miah, Mohammad Abu Yousuf, “Detection Of Lung Cancer From CT Image Using Image Processing And Neural Network", 2nd Int'l Conf On Electrical Engineering And Information & Communication Technology (ICEEICT) 2015 Jahangirnagar University, Dhaka-1342, Bangladesh, 21-23 May 2015, 978-1-4673-6676-2/15/$31.00 ©2015 IEEE.
[9] Xin-Yu Jin, Yu-Chen Zhang, Qi-Liang Jin, “Pulmonary Nodule Detection Based On CT Images Using Convolution Neural Network2016 9th International Symposium On Computational Intelligence And Design, 2473-3547/16 $31.00, DOI 10.1109/ISCID.2016.52, © 2016 IEEE.
[10] Takada, Ruchita. “Lung Nodule Detection And Classification Using Machine Learning Techniques.” (2018). 
[11] Charity, Faridoddin Et Al. “Automatic Lung Segmentation In Computed Tomography Images Using Active Shape Model.” 2020 IEEE International Conference On Electrical Engineering And Photonics (Eexpolytech) (2020): 156-159.
[12]  Samundeeswari, P. And Ramalingam Gunasundari. “A Novel Multilevel Hybrid Segmentation And Refinement Method For Automatic Heterogeneous True NSCLC Nodules Extraction.” 2020 5th International Conference On Devices, Circuits And Systems (ICDCS) (2020): 226-235.
[13] Karthikeyan, M. V. Et Al. “Lung Cancer Detection Using CT SCAN Images.” International Journal Of Advanced Research In Science, Communication And Technology (2021): N. Pag.
[14] Fenimore, C. , Armato, S. , Aberle, D. , Brown, M. , Henschke, C. , Mcnitt-Gray, M. , Macmahon, H. , Mclennan, G. , Meyer, C. , Reeves, A. And Yankelevitz, D. (2011), The Lung Image Database Consortium (LIDC) And Image Database Resource Initiative (IDRI): A Completed Reference Database Of Lung Nodules On CT Scans, Medical Physics
[15]  Miah, M.B.A., & Yousuf, M.A. (2015) “Detection Of Lung Cancer From CT Image Using Image Processing And Neural Network.” 2015 International Conference On Electrical Engineering And Information Communication Technology (ICEEICT): 1-6.

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