Reference Hub

This research has been cited in:

Article
A Survey of Data Mining and Deep Learning in BioinformaticsJournal of Medical Systems10.1007/s10916-018-1003-9
Chapter
Analysis of Segmentation and Identification of Square-Hexa-Round-Holed Nuts Using Sobel and Canny Edge DetectorRecent Trends in Image Processing and Pattern Recognition10.1007/978-981-13-9187-3_24
Chapter
Conclusion and ChallengesDocument Image Analysis10.1007/978-981-13-2339-3_8
Article
Automatic Lung Segmentation Algorithm on Chest X-ray Images Based on Fusion Variational Auto-Encoder and Three-Terminal Attention MechanismSymmetry10.3390/sym13050814
Article
Super resolution of single depth image based on multi-dictionary learning with edge feature regularizationMultimedia Tools and Applications10.1007/s11042-019-08500-5
Article
System segmentation of Lungs in images chest x-ray using the generative adversarial networkITM Web of Conferences10.1051/itmconf/20224301020
Conference
Foreign Artifacts Detection on Pediatric Chest X-Ray2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)10.1109/CCECE47787.2020.9255768
Article
Using Computer Vision Techniques to Automatically Detect Abnormalities in Chest X-raysDiagnostics10.3390/diagnostics13182979
Article
Small Foreign Metal Objects Detection in X-Ray Images of Clothing Products Using Faster R-CNN and Feature Pyramid NetworkIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2021.3077666
Chapter
Edge Preserved Satellite Image Denoising Using Median and Bilateral FilteringRecent Trends in Image Processing and Pattern Recognition10.1007/978-981-13-9181-1_59
Article
Measuring how much an object has a ring-like shape Measurement Science and Technology10.1088/1361-6501/abce3a
Article
Segmentation of Lungs in Chest X-Ray Image Using Generative Adversarial NetworksIEEE Access10.1109/ACCESS.2020.3017915
Article
Analyzing Overlaid Foreign Objects in Chest X-rays—Clinical Significance and Artificial Intelligence ToolsHealthcare10.3390/healthcare11030308

Foreign Circular Element Detection in Chest X-Rays for Effective Automated Pulmonary Abnormality Screening

Fatema Tuz Zohora, K.C. Santosh

Source Title: International Journal of Computer Vision and Image Processing (IJCVIP)7(2)

ISSN: 2155-6997|EISSN: 2155-6989|EISBN13: 9781522514404|DOI: 10.4018/IJCVIP.2017040103

Cite Article Cite Article

MLA

Zohora, Fatema Tuz, and K.C. Santosh. "Foreign Circular Element Detection in Chest X-Rays for Effective Automated Pulmonary Abnormality Screening." IJCVIP vol.7, no.2 2017: pp.36-49. http://doi.org/10.4018/IJCVIP.2017040103

APA

Zohora, F. T. & Santosh, K. (2017). Foreign Circular Element Detection in Chest X-Rays for Effective Automated Pulmonary Abnormality Screening. International Journal of Computer Vision and Image Processing (IJCVIP), 7(2), 36-49. http://doi.org/10.4018/IJCVIP.2017040103

Chicago

Zohora, Fatema Tuz, and K.C. Santosh. "Foreign Circular Element Detection in Chest X-Rays for Effective Automated Pulmonary Abnormality Screening," International Journal of Computer Vision and Image Processing (IJCVIP) 7, no.2: 36-49. http://doi.org/10.4018/IJCVIP.2017040103

Export Reference

Favorite Full-Issue Download

View Full Text HTML

View Full Text PDF

Abstract

In automated chest X-ray screening (to detect pulmonary abnormality: Tuberculosis (TB), for instance), the presence of foreign element such as buttons and medical devices hinders its performance. In this paper, using digital chest radiographs, the authors present a new technique to detect circular foreign element, within the lung regions. They first compute edge map by using several different edge detection algorithms, which is followed by morphological operations for potential candidate selection. These candidates are then confirmed by using circular Hough transform (CHT). In their test, the authors have achieved precision, recall, and F1 score of 96%, 90%, and 92%, respectively with lung segmentation. Compared to state-of-the-art work, their technique excels performance in terms of both detection accuracy and computational time.

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.

Username or email: *

Password: *

Forgot individual login password?

Create individual account

Foreign Circular Element Detection in Chest X-Rays for Effective Automated Pulmonary Abnormality Screening

MLA

APA

Chicago

Export Reference

Abstract

Request Access