Lung Cancer Prediction and Detection Using Image Processing Mechanisms: An Overview

Bakhan Tofiq Ahmed


Nowadays, cancer has counted as a hazardous disease that many people suffered from especially Lung-Cancer. Cancer is the disease that cell has grown rapidly and abnormally that is why treating it is somehow tough in some cases but it can be controlled if it is detected in the initial stage. Image Processing Mechanisms have a vital role in predicting and recognizing both benign and malignant cells with the help of classifier mechanisms such as Decision-Tree (D-Tree), A-NN, Support-Vector-Machine, and Naïve-Bayes classifier which are widely utilized in the biomedical field. These classifiers are available to classify the usual and unusual cells. This study aims to review the most well-known Image Processing Mechanisms for Lung-Cancer Detection and Prediction. Brief information about the main steps of proposing an effective system by using Image Processing stages like Image Acquisition, Pre-processing of the image which includes noise elimination and enhancement, Segmentation, Extracting Feature, and Binarization had been demonstrated. In the literature, several researchers' work had been reviewed. A comparison had been done among various reviewed research papers that proposed various models for recognizing and estimating the Lung-Cancer nodule. The comparison based on the Image Processing Mechanisms, accuracy, and classifier used in each reviewed research paper.


Computed Tomography ‘CT’;Noise-Elimination; Median-Filter; Thresholding; Binarization.

Full Text:



S. S. Priya and B. Ramamurthy, "Lung cancer detection using image processing techniques," Research Journal of Pharmacy Technology vol. 11, no. 5, pp. 2045-2049, 2018.

V. A. Gajdhane and L. Deshpande, "Detection of lung cancer stages on CT scan images by using various image processing techniques," IOSR Journal of Computer Engineering (IOSR-JCE), vol. 16, no. 5, pp. 28-35, 2014.

A. R. Kaur, "Feature extraction and principal component analysis for lung cancer detection in CT scan images," International Journal of Advanced Research in Computer Science Software Engineering, vol. 3, no. 3, pp. 187-190, 2013.

K. Balachandran and R. Anitha, "Classifiers based Approach for Pre-Diagnosis of Lung Cancer Disease," in International Journal of Computer Applications®(IJCA)(0975–8887), proceedings on National Conference on Emerging Trends in Information & Communication Technology (NCETICT 2013): Citeseer.

B. Gupta and S. Tiwari, "Lung cancer detection using curvelet transform and neural network," International Journal of Computer Applications, vol. 86, no. 1, pp. 15-17, 2014.

M. P. Chander, M. V. Rao, and T. Rajinikanth, "Detection of lung cancer using digital image processing techniques: a comparative study," International Journal of Medical Imaging, vol. 5, no. 4, pp. 59-62, 2017. doi: 10.11648/j.ijmi.20170505.12

G. Vijaya and A. Suhasini, "Early Detection of Lung Cancer using Data Mining Techniques: A Survey," International Journal of Engineering Research & Technology (IJERT) ICSEM-2013 Conference Proceedings, vol. 1, no. 6, pp. 867-877, 2013.

K. Dimililer, B. Ugur, and Y. Ever, "Tumor detection on CT lung images using image enhancement," The Online Journal of Science Technology, vol. 7, no. 1, pp. 133-138, 2017.

Ada and R. Kaur, "Early Detection and Prediction of Lung Cancer Survival using Neural Network Classifier " International Journal of Application or Innovation in Engineering & Management, vol. 2, no. 6, pp. 375-383, 2013.

A. Asuntha, A. Brindha, S. Indirani, and A. Srinivasan, "Lung cancer detection using SVM algorithm and optimization techniques," Journal of Chemical and Pharmaceutical Sciences, vol. 9, no. 4, pp. 3198-3203, 2016.

A. K. Tiwari, "PREDICTION OF LUNG CANCER USING IMAGE PROCESSING TECHNIQUES: A REVIEW”," Advanced Computational Intelligence: An International Journal, vol. 3, no. 1, pp. 1-9, 2016.

A. A. Abdullah and H. Mohamaddiah, "Development of cellular neural network algorithm for detecting lung cancer symptoms," in 2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES), 2010, pp. 138-143, IEEE.

D. Sharma and G. Jindal, "Computer Aided Diagnosis System for Detection of LungCancer in CT Scan Images," International Journal of Computer Electrical Engineering, vol. 3, no. 5, pp. 714-718, 2011.

F. Taher, N. Werghi, H. Al-Ahmad, and R. Sammouda, "Lung cancer detection by using artificial neural network and fuzzy clustering methods," in 2011 IEEE GCC Conference and Exhibition (GCC), 2011, pp. 295-298, IEEE.

S. Patil and M. Kuchanur, "Lung cancer classification using image processing," International Journal of Engineering Innovative Technology, vol. 2, no. 3, pp. 37-42, 2012.

D. Kumar, A. Wong, and D. A. Clausi, "Lung nodule classification using deep features in CT images," in 2015 12th Conference on Computer and Robot Vision, 2015, pp. 133-138, DOI: 10.1109/CRV.2015.25: IEEE.

S. L. Fernandes, V. P. Gurupur, H. Lin, and R. J. Martis, "A Novel fusion approach for early lung cancer detection using computer aided diagnosis techniques," Journal of Medical Imaging Health Informatics, vol. 7, no. 8, pp. 1841-1850, 2017.

S. Makaju, P. Prasad, A. Alsadoon, A. Singh, and A. Elchouemi, "Lung cancer detection using ct scan images," Procedia Computer Science, vol. 125, pp. 107-114, 2018.

P. Ashwini, S. Antony, and V. Kanchana, "Categorizing the stages of lung cancer using Multi SVM Classifier," International Journal of Research in Pharmaceutical Sciences, vol. 10, no. 3, pp. 2323-2328, 2019.

P. M. Shakeel, M. Burhanuddin, and M. I. Desa, "Lung cancer detection from CT image using improved profuse clustering and deep learning instantaneously trained neural networks," Measurement, vol. 145, pp. 702-712, 2019.

S. Shanthi and N. Rajkumar, "Lung Cancer Prediction Using Stochastic Diffusion Search (SDS) Based Feature Selection and Machine Learning Methods," Neural Processing Letters, pp. 1-14, 2020.

J. Talukdar and D. P. Sarma, "A Survey on Lung Cancer Detection in CT scans Images Using Image Processing Techniques," International Journal of Current Trends in Science and Technology, vol. 8, no. 3, pp. 20181-20186, 2018-03-15 2018.

B. G. Patil and S. N. Jain, "Cancer cells detection using digital image processing methods," International Journal of Latest Trends in Engineering and Technology, vol. 3, no. 4, pp. 45-49, 2014.

K. Sudha and D. Nageshwar, "A Comparative Study of Various Noise Removal Techniques Using Filters," Research & Reviews: Journal of Engineering and Technology, vol. 7, no. 2, pp. 47-52, 2018.

G. George, R. M. Oommen, S. Shelly, S. S. Philipose, and A. M. Varghese, "A survey on various median filtering techniques for removal of impulse noise from digital image," in 2018 Conference on Emerging Devices and Smart Systems (ICEDSS), 2018, pp. 235-238, IEEE.

M. B. A. Miah and M. A. Yousuf, "Detection of lung cancer from CT image using image processing and neural network," in 2015 International Conference on Electrical Engineering and Information Communication Technology (ICEEICT), 2015, pp. 1-6, ieee.

J. Tong, W. Ying, and W. C. Dong, "A lung cancer lesions dectection scheme based on CT image," in 2010 2nd International Conference on Signal Processing Systems, 2010, vol. 1, pp. V1-557-V1-560, IEEE.

F. Di Martino and S. Sessa, "PSO image thresholding on images compressed via fuzzy transforms," Information Sciences, vol. 506, pp. 308-324, 2020.

M. S. Al-Tarawneh, "Lung cancer detection using image processing techniques," Leonardo Electronic Journal of Practices Technologies, vol. 11, no. 21, pp. 147-158, 2012.

S. H. Benziane and A. Benyettou, "Dorsal Hand Vein Identification Based on Binary Particle Swarm Optimization," Journal of Information Processing Systems, vol. 13, no. 2, 2017.



  • There are currently no refbacks.

Copyright (c) 2020 bakhan Tofiq Ahmed

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.


ISSN Online: 2714-6677 | Print: 2714-6669
Published by Association for Scientific Computing Electrical and Engineering (ASCEE)
Website :
Email 1 :
Email 2 :


View My Stats