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Comparative analysis of segmentation techniques based on chest X-ray images

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Abstract

The image segmentation is the basic step in the image processing involved in the processing of medical images. Over the past two decades, medical image segmentation has remained a challenge for researchers while the use of this imaging modality is rapidly growing in research studies. This article surveys the techniques and their effect on chest X-ray images. The objective of this work is to study the key similarities and differences among the different published methods while highlighting their strengths and weaknesses on chest X-ray images. The reason is to assist the researchers in the choice of an appropriate lung segmentation methodology. We additionally give a complete portrayal of the existing few basic methods when combined with preprocessing method that can be utilized as a part of the segmentation. A discussion and fair analysis justified with experimental results along with quantitative correlation of the outcomes on 247 images of JSRT through Dice coefficient exhibited.

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Notes

  1. http://www.jsrt.or.jp/jsrt-db/eng.php

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Authors and Affiliations

  1. Center of Excellence in Information Technology, Institute of Management Sciences, Peshawar, Pakistan

    Mahreen Kiran, Imran Ahmed, Nazish Khan & Hamood ur Rehman

  2. School of Computer Science and Engineering, Kyungpook National University, Daegu, South Korea

    Sadia Din & Anand Paul

  3. Department of Computer Science and Engineerig, National Institute of Technology, Andhra Pradesh, India

    Alavalapati Goutham Reddy

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  1. Mahreen Kiran
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  2. Imran Ahmed
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Correspondence to Alavalapati Goutham Reddy.

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Kiran, M., Ahmed, I., Khan, N. et al. Comparative analysis of segmentation techniques based on chest X-ray images. Multimed Tools Appl 79, 8483–8518 (2020). https://doi.org/10.1007/s11042-019-7348-3

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