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

Mahreen Kiran, Imran Ahmed, Nazish Khan, Hamood ur Rehman, Sadia Din, Anand Paul, Alavalapati Goutham Reddy

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)8483-8518
Number of pages36
JournalMultimedia Tools and Applications
Volume79
Issue number13-14
DOIs
Publication statusPublished - 1 Apr 2020
Externally publishedYes

Keywords

  • Chest radiography
  • Codes
  • Commands
  • Computer-aided diagnosis
  • Lung region extraction
  • Segmentation
  • Survey
  • executable

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