Shimane Journal of Medical Science
Online ISSN : 2433-2410
Print ISSN : 0386-5959
Original Article
Extraction of Whole-lung Field From Pseudo-chest X-ray Images Using U-net
Shota HOSOGOSHI Kazuaki MATSUOYoshinori MIYAHARAYasushi KAJI
Author information
JOURNAL OPEN ACCESS FULL-TEXT HTML

2024 Volume 41 Issue 3 Pages 63-71

Details
Abstract

This study aimed to develop a model using U-net to extract the whole lung field from pseudo-chest X-ray images, including areas overlapping with cardiac and diaphragm shadows. Training involved pseudo-X-rays and lung label images from CT scans of 140 cases from the LIDC-IDRI dataset.

The extraction performance of the model was evaluated using the Dice similarity coefficient (DSC). We also examined the correlations among patient size, lung volume, and DSC. As a result, the whole-lung field extraction model developed in this study tended to over-extract intestinal gas in some cases, and the extraction performance varied depending on the patient size. However, the DSC between the whole-lung label image and the output image was >0.9 for all the test data, indicating that the whole-lung field can be extracted from the pseudo chest X-ray image.

Content from these authors
© Shimane University, Faculty of Medicine

This article is licensed under a Creative Commons [Attribution-NonCommercial-NoDerivatives 4.0 International] license.
https://creativecommons.org/licenses/by-nc-nd/4.0/
Previous article Next article
feedback
Top