An early prediction of lung cancer, solid, liquid and semi-liquid deposition and its classification through measurement of physical characteristics using CT scan images

ABSTRACT

The analysis of lung diseases at the early stage is a major need in medical field to overcome the patients' severity. Thus, in the proposed work, Support Vector Machine (SVM) based classification method is adopted for precise classification of lung cancer, solid or aerosol Deposition, liquid and semi-liquid Deposition. Initially, the gathered data are pre-processed for image transformation. Image binning is performed to divide the images into several sub-regions, and threshold setting is done for effective segmentation. To evaluate the cell size and infected areas, Region of Interest (ROI) extraction has performed. The physical characteristics encompassing reflection coefficient, mass density and impedance are estimated to achieve effective performance. The prediction and classification of four lung diseases are effectively classified using SVM classifier. The simulation tool used for evaluating the performance is MATLAB. The performance of different physical characteristics shows that the proposed method performs better in classification.

KEYWORDS:

• Lung cancer
• aerosol deposition
• liquid and semi-liquid deposition
• region of interest
• support vector machine
• reflection coefficient
• mass density and impedance

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

Data sharing not applicable to this article.

Additional information

Notes on contributors

K. Karthika

Mrs. K. Karthika, was born in Salem, Salem District, Tamil Nadu, India. She Graduated B.E(ECE) from Adhiparasakthi Engineering College, Melmaruvathur, Anna University, Chennai, in 2009 and ME degree in VLSI Design from Shreenivasa Engineering College, Bommidi, Anna University , Chennai, India , in 2014. She is doing her doctorate in VELS university, Chennai, India in the field Medical Image Processing. She Published 4 Journals and Presented 7 papers in various National and International Conferences. Currently she is working as Teaching fellow, Department of Electronics Engineering, Madras Institute of Technology campus, Anna University, Chennai-600044. She has total teaching experience of 9.5 years in various reputed engineering colleges. Her research interest includes Medical/ Signal Processing, VLSI Design, Machine learning and networking.

G. R. Jothilakshmi

Dr. G. R. Jothi Lakshmi, was born in Kovilpatti, Tuticorin District, Tamil Nadu, India. She Graduated B.E(ECE) from National Engineering College, Kovilpatti, Manonmanium sundaranar University, Tirunelveli, in 1997 and ME degree in Communication Systems from National Engineering, College, Kovilpatti, Anna University, Chennai, India, in 2006. She received her doctorate in the year 2018 in VELS university, Chennai, India in the field Medical Image Processing with the Thesis title “Development of user Friendly Breast Image Representation using Smart Simulation Model of Digital Mammogram and Sonomammogram”. She Published 15 International Journals with high impact factor and Presented 16 papers in various National and International Conferences. Currently she is working as Associate Professor, Department of Electronics and Communication Engineering, VELS Institute of Science, Technology & Advanced Studies (VISTAS), Chennai-600117. She has total teaching experience of 21 years in various reputed engineering colleges. Her research interest includes Medical/ Signal Processing, Pattern Recognition, Machine learning and deep learning techniques.