Fully Automatic Detection and Segmentation Approach for Juxta-Pleural Nodules From CT Images

Vijayalaxmi Mekali and Girijamma H. A.
Additional contact information
Vijayalaxmi Mekali: KSIT, Bengaluru, India
Girijamma H. A.: RNSIT, Bengaluru, India

International Journal of Healthcare Information Systems and Informatics (IJHISI), 2021, vol. 16, issue 2, 87-104

Abstract: Early detection of all types of lung nodules with different characters in medical modality images using computer-aided detection is the best acceptable remedy to save the lives of lung cancer sufferers. But accuracy of different types of nodule detection rates is based on chosen segmented procedures for parenchyma and nodules. Separation of pleural from juxta-pleural nodules (JPNs) is difficult as intensity of pleural and attached nodule is similar. This research paper proposes a fully automated method to detect and segment JPNs. In the proposed method, lung parenchyma is segmented using iterative thresholding algorithm. To improve the nodules detection rate separation of connected lung lobes, an algorithm is proposed to separate connected left and right lung lobes. The new method segments JPNs based on lung boundary pixels extraction, concave points extraction, and separation of attached pleural from nodule. Validation of the proposed method was performed on LIDC-CT images. The experimental result confirms that the developed method segments the JPNs with less computational time and high accuracy.

Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... /IJHISI.20210401.oa5 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jhisi0:v:16:y:2021:i:2:p:87-104

Access Statistics for this article

International Journal of Healthcare Information Systems and Informatics (IJHISI) is currently edited by Qiang (Shawn) Cheng

More articles in International Journal of Healthcare Information Systems and Informatics (IJHISI) from IGI Global
Bibliographic data for series maintained by Journal Editor ().