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DOI Prefix: 10.47001/IRJIET

Lung Region Segmentation using Image Data Analysis

Ms.S.PradeebaM.E. Scholar, Dept of Communication Systems, Paavai Engineering College, Namakkal, Tamilnadu, IndiaDr.S.Kumar GaneshAssociate Professor, Dept of ECE, Paavai Engineering College, Namakkal, Tamilnadu, India

Vol 4 No 5 (2020): Volume 4, Issue 5, May 2020 | Pages: 44-50

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 23-05-2020

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Abstract

It is very common in medical imaging that the anatomy of interest occupies only a very small part of the image. Therefore, most of the removed spots are in the background area, while these small organs (anomalies) are of greater importance. One of the most difficult tasks in analyzing medical images is the segmentation of medical images, which identifies pixels or organ damage from medical background images such as CT or MRI images. The main goal of the lung region extraction process is to capture the lung region and determine the regions of interest (ROI) on the CT image.

Keywords

Medical image segmentation, Lung segmentation, Deliver critical information, CT image analysis


Citation of this Article

Ms.S.Pradeeba, Dr.S.Kumar Ganesh, “Lung Region Segmentation using Image Data Analysis” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 4, Issue 5, pp 44-50, May 2020. 

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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