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

1 Citation (Scopus)

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

Fingerprint

Dive into the research topics of 'Comparative analysis of segmentation techniques based on chest X-ray images'. Together they form a unique fingerprint.

Cite this