Comparative Analysis of Lung Segmentation

7 Pages Posted: 24 Jul 2019 Last revised: 30 Sep 2019

See all articles by Rochelle D’Sa

Rochelle D’Sa

Don Bosco Institute of Technology, Mumbai, 4000070-India

Kelvin Lewis

Don Bosco Institute of Technology, Mumbai, 4000070-India

Jovita Pereira

Don Bosco Institute of Technology, Mumbai, 4000070-India

Vicky Thomas

Don Bosco Institute of Technology, Mumbai, 4000070-India

Dr. Satishkumar Chavan

Don Bosco Institute of Technology, Mumbai, 4000070-India

Date Written: May 17, 2019

Abstract

Lung cancer detection is a crucial and time-consuming task which is undertaken majorly by highly trained professionals or doctors. Lung parenchyma segmentation is a pre-processing technique for lung nodule detection. Segmentation of lung parenchyma is useful for delineation of lung nodules or lesions and for further analysis. It can be achieved by automating the segmentation process to reduce human errors as well as to help radiologist for accurate diagnosis of lung diseases. This paper deals with comparative analysis of three lung parenchyma segmentation techniques. Watershed segmentation provided a better accuracy as compared to region based segmentation and cluster based segmentation. The segmentation algorithms are tested on 400,000 images. Watershed segmentation outperforms and provides an accuracy of 96.57%.

Keywords: Lung cancer, Lung parenchyma, Lung nodule detection, Cluster based segmentation, Region based segmentation, Watershed Segmentation

JEL Classification: Y60

Suggested Citation

D’Sa, Rochelle and Lewis, Kelvin and Pereira, Jovita and Thomas, Vicky and Chavan, Dr. Satishkumar, Comparative Analysis of Lung Segmentation (May 17, 2019). Proceedings of International Conference on Communication and Information Processing (ICCIP) 2019, Available at SSRN: https://ssrn.com/abstract=3424473 or http://dx.doi.org/10.2139/ssrn.3424473

Rochelle D’Sa

Don Bosco Institute of Technology, Mumbai, 4000070-India ( email )

Kelvin Lewis

Don Bosco Institute of Technology, Mumbai, 4000070-India ( email )

Jovita Pereira

Don Bosco Institute of Technology, Mumbai, 4000070-India ( email )

Vicky Thomas

Don Bosco Institute of Technology, Mumbai, 4000070-India ( email )

Dr. Satishkumar Chavan (Contact Author)

Don Bosco Institute of Technology, Mumbai, 4000070-India ( email )

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