Lung nodule detection and diagnosis using circle detection through plain radiographs

In this paper, we present a system that locates pulmonary nodules in digital chest radiographs through pattern recognition. Digital radiographs that are already diagnosed with lung nodules underwent histogram equalization in order to address varying illumination levels across different regions in th...

Full description

Saved in:
Bibliographic Details
Main Authors: De La Cruz, Ria Rodette, Roque, Trizia Roby Ann, Rosas, John Daryl, Vera Cruz, Charles Vincent M., Cordel, Macario O., II, Ilao, Joel P.
Format: text
Published: Animo Repository 2013
Subjects:
Online Access:https://animorepository.dlsu.edu.ph/faculty_research/5441
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: De La Salle University
id oai:animorepository.dlsu.edu.ph:faculty_research-6277
record_format eprints
spelling oai:animorepository.dlsu.edu.ph:faculty_research-62772022-04-21T00:38:13Z Lung nodule detection and diagnosis using circle detection through plain radiographs De La Cruz, Ria Rodette Roque, Trizia Roby Ann Rosas, John Daryl Vera Cruz, Charles Vincent M. Cordel, Macario O., II Ilao, Joel P. In this paper, we present a system that locates pulmonary nodules in digital chest radiographs through pattern recognition. Digital radiographs that are already diagnosed with lung nodules underwent histogram equalization in order to address varying illumination levels across different regions in the radiographs, and make the radiograph samples more comparable. Laplacian of Gaussian filtering is next applied in order to highlight the edges of pathological features like nodule-shaped blobs in each radiograph. Circular Hough Transform (CHT) was utilized in tandem with pixel-based image processing techniques in locating possible nodules. These system reports the count and sizes of the candidate nodules. We report an overall system accuracy of 73.33% when classifying digitized radiographs as either with nodules or without nodules. 2013-03-01T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/5441 Faculty Research Work Animo Repository Pattern recognition systems Image processing—Digital techniques Radiography, Medical—Digital techniques Lungs—Radiography Lungs—Diseases—Diagnosis
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Pattern recognition systems
Image processing—Digital techniques
Radiography, Medical—Digital techniques
Lungs—Radiography
Lungs—Diseases—Diagnosis
spellingShingle Pattern recognition systems
Image processing—Digital techniques
Radiography, Medical—Digital techniques
Lungs—Radiography
Lungs—Diseases—Diagnosis
De La Cruz, Ria Rodette
Roque, Trizia Roby Ann
Rosas, John Daryl
Vera Cruz, Charles Vincent M.
Cordel, Macario O., II
Ilao, Joel P.
Lung nodule detection and diagnosis using circle detection through plain radiographs
description In this paper, we present a system that locates pulmonary nodules in digital chest radiographs through pattern recognition. Digital radiographs that are already diagnosed with lung nodules underwent histogram equalization in order to address varying illumination levels across different regions in the radiographs, and make the radiograph samples more comparable. Laplacian of Gaussian filtering is next applied in order to highlight the edges of pathological features like nodule-shaped blobs in each radiograph. Circular Hough Transform (CHT) was utilized in tandem with pixel-based image processing techniques in locating possible nodules. These system reports the count and sizes of the candidate nodules. We report an overall system accuracy of 73.33% when classifying digitized radiographs as either with nodules or without nodules.
format text
author De La Cruz, Ria Rodette
Roque, Trizia Roby Ann
Rosas, John Daryl
Vera Cruz, Charles Vincent M.
Cordel, Macario O., II
Ilao, Joel P.
author_facet De La Cruz, Ria Rodette
Roque, Trizia Roby Ann
Rosas, John Daryl
Vera Cruz, Charles Vincent M.
Cordel, Macario O., II
Ilao, Joel P.
author_sort De La Cruz, Ria Rodette
title Lung nodule detection and diagnosis using circle detection through plain radiographs
title_short Lung nodule detection and diagnosis using circle detection through plain radiographs
title_full Lung nodule detection and diagnosis using circle detection through plain radiographs
title_fullStr Lung nodule detection and diagnosis using circle detection through plain radiographs
title_full_unstemmed Lung nodule detection and diagnosis using circle detection through plain radiographs
title_sort lung nodule detection and diagnosis using circle detection through plain radiographs
publisher Animo Repository
publishDate 2013
url https://animorepository.dlsu.edu.ph/faculty_research/5441
_version_ 1767196318884691968