Automatic Segmentation of Lung Tumor from X-Ray Images Using Advance Novel Semantic Approach

Abstract

In this modern era, the clinical laboratory has become more interested in obtaining correct test results, particularly when diagnosing pulmonary tumors. Lung tumors are critical for the diagnosis and treatment at different stages, including benign, malignant. This document focuses on the pulmonary segmentation function. The area of the tumor in the lung is measured by three steps. The first step is to acquire an image that reads and re-dimensions the pulmonary image. The second stage consists of the processing of the image using the median filter with histogram equalization (MFHE) technique. The third stage consist the segmentation process such as, the fuzzy c-means, Otsu and the region-based active contours toward the advanced semantic segmentation methodology indicated is checked. The results suggest that the overall estimate of the proposed methodology is more reliable. The segmentation results indicate that the proposed calculation improves the distinguishing of the tumor area. The performance indicators such as PSNR, MSE, SSIM and RMSE, Dice are five general to be calculated. The programming for MATLAB 2018 has been used to validate the algorithm for the effective tumor area evaluation. This proposed segmentation algorithm for radiographic images is the best automatic segmentation algorithm for tumors based on segmentation assessments. The segmentation results demonstrate that the proposed estimate improves the accurate identification of the tumor area.

KEYWORDS:

• Advanced Novel Semantic Segmentation
• Fuzzy C-Mean clustering
• Histogram equalization
• Median filter with histogram equalization (MFHE)
• Otsu’s segmentation
• Region-based Active Contour (RAC)
• X-ray lung cancer image

Acknowledgements

First, the author thanks the management of Udaya School of Engineering and Noorul Islam Centre for Higher Education, for their continuous support and encouragement throughout the work. Then the authors also acknowledge the National Cancer Institute and the Foundation for the National Institutes of Health for their critical role in the creation of the free, publicly available database & in-house clinical cancer image collected from International Cancer Center (ICC) at Neyyoor used in this study. Finally, we wish to thank the anonymous reviewers for helping to strengthen this paper.

Disclosure statement

The author declares that they have no conflict of interest.

Additional information

Notes on contributors

K. Vijila Rani

K Vijila Rani received the bachelor's degree in electronics and communication engineering from Anna University Chennai and master's degree in communication system from Anna University Chennai. She completed her PhD degree from Arunachala College of Engineering for Women, Vellichanthai at Anna University Chennai, India. She is working as an assistant professor in the Department of Electronics and Communication Engineering, Udaya School of Engineering, Vellichanthai. She completed four diploma software courses such as DCA, .NET, DJP, DWD, from Computer Software College (CSC), Kanyakumari District. She published 7 SCI/SCIE papers and nearly 12 papers in both international and national journals. Her research interests include medical image processing, nanotechnology, image segmentation methodology and tumours.

S. Albert Jerome

S Albert Jerome received his BE degree (First Class) in electrical and electronics engineering from Bharathidhasan University, Trichy, Tamilnadu in 2001 and MTech degree (First Class) with distinction in biomedical signal processing and instrumentation from Shanmuga Arts, Science, Technology & Research Academy (Sastra University), Tanjavur, Tamilnadu, India in 2002. He completed his PhD degree on the topic “Automatic Segmentation of Intervertebral Discs of Cervical Spine Magnetic Resonance Images” from the Department of Electrical and Electronics Engineering at Noorul Islam Centre for Higher Education, Kumaracoil, Tamilnadu, India in 2016. He is currently working as an associate professor in the Department of Biomedical Engineering, Noorul Islam Centre for Higher Education, Kumaracoil, Tamilnadu, India. He is having 18 years of teaching experience. He has published 11 papers in National and international conferences and 4 papers in international journals. His research interest includes biomedical signal processing and medical image processing and analysis.Email: [email protected]

P. Josephin Shermila

P Josephin Shermila was born in Kanyakumari District, Tamilnadu, India in 1983. She received her BE degree in electronics and communication engineering from Noorul Islam College of Engineering, Kumaracoil, Anna University, India in 2005, and obtained an ME degree in computer communication engineering from National Engineering College, Kovilpatti, Anna University, India in 2007. She is currently pursuing her PhD degree in information and communication engineering at St Xaviers Catholic College of Engineering, Anna University, India. She worked as a programmer analyst in Cognizant Technology Solutions from October 2007 to October 2010. She is in the teaching profession since November 2010. Currently, she is working as an assistant professor in the Department of Electronics and Communication Engineering, Arunachala College of Engineering for Women, Vellichanthai, India. Her research area of interest is nutrition estimation from food images. Email: [email protected]

L. K. Shoba

L K Shoba received her BE degree in electronics and communication engineering from Noorul Islam College of Engineering, Kumaracoil in Manonmaniam Sundaranar University, in the year 2003. She received her MTech degree in information technology from Madras Institute of Technology, Chennai, Anna University in 2009. She is currently pursuing PhD degree in information and communication engineering at Jeppiaar Engineering College, Anna University. She is in teaching profession since June 2009. Currently, she is working as an assistant professor in Jeppiaar Engineering College, Department of Information Technology. Email: [email protected]

M. Eugine Prince

M Eugine Prince received his BSc degree in physics in the year 1992, MSc degree in physics in the year 1994, BEd degree in the year 1995, MPhil degree in physics in the year 2007 and PhD in physics in the year 2013. His research focuses in the areas of crystal growth and electronics. He published 5 papers in refereed journals. He has 12 years of teaching experience as PG assistant (Physics) and 3 years of teaching experience as an assistant professor. Currently, he is working as an assistant professor in the Physics Department of S T Hindu College, Nagercoil, Tamilnadu, India. Email: [email protected]