AUTOMATIC DETECTION OF MICROANEURYSMS IN COLOR FUNDUS IMAGES USING A LOCAL RADON TRANSFORM METHOD

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

POURREZA H.R.; BAHREYNI TOUSI SEYED MOHAMMAD HOSSEIN; MAHDIZADEH A.R.; POURREZA R.; TAVAKOLI MEYSAM

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: IRANIAN JOURNAL OF MEDICAL PHYSICS Year:2009 | Volume:6 | Issue:1 (22) Page(s): 13-20

Download Full-Text

Persian Verion

View:

1,407

Download:

Cites:

Information Journal Paper

Title

AUTOMATIC DETECTION OF MICROANEURYSMS IN COLOR FUNDUS IMAGES USING A LOCAL RADON TRANSFORM METHOD

Author(s)

Keywords

DIABETIC RETINOPATHYQ3

MICROANEURYSMQ3

LOCAL RADON TRANSFORMQ3

Abstract

Introduction: DIABETIC RETINOPATHY (DR) is one of the most serious and most frequent eye diseases in the world and the most common cause of blindness in adults between 20 and 60 years of age. Following 15 years of diabetes, about 2% of the diabetic patients are blind and 10% suffer from vision impairment due to DR complications. This paper addresses the automatic detection of MICROANEURYSMs (MA) in color fundus images, which plays a key role in computer-assisted early diagnosis of DIABETIC RETINOPATHY.Materials and Methods: The algorithm can be divided into three main steps. The purpose of the first step or pre-processing is background normalization and contrast enhancement of the images.The second step aims to detect candidates, i.e., all patterns possibly corresponding to MA, which is achieved using a LOCAL RADON TRANSFORM, Then, features are extracted, which are used in the last step to automatically classify the candidates into real MA or other objects using the SVM method. A database of 100 annotated images was used to test the algorithm. The algorithm was compared to manually obtained gradings of these images.Results: The sensitivity of diagnosis for DR was 100%, with specificity of 90% and the sensitivity of precise MA localization was 97%, at an average number of 5 false positives per image.Discussion and Conclusion: Sensitivity and specificity of this algorithm make it one of the best methods in this field. Using the LOCAL RADON TRANSFORM in this algorithm eliminates the noise sensitivity for MA detection in retinal image analysis.

Cites

No record.

References

No record.

Cite

APA: Copy

POURREZA, H.R., BAHREYNI TOUSI, SEYED MOHAMMAD HOSSEIN, MAHDIZADEH, A.R., POURREZA, R., & TAVAKOLI, MEYSAM. (2009). AUTOMATIC DETECTION OF MICROANEURYSMS IN COLOR FUNDUS IMAGES USING A LOCAL RADON TRANSFORM METHOD. IRANIAN JOURNAL OF MEDICAL PHYSICS, 6(1 (22)), 13-20. SID. https://sid.ir/paper/96937/en

Vancouver: Copy

POURREZA H.R., BAHREYNI TOUSI SEYED MOHAMMAD HOSSEIN, MAHDIZADEH A.R., POURREZA R., TAVAKOLI MEYSAM. AUTOMATIC DETECTION OF MICROANEURYSMS IN COLOR FUNDUS IMAGES USING A LOCAL RADON TRANSFORM METHOD. IRANIAN JOURNAL OF MEDICAL PHYSICS[Internet]. 2009;6(1 (22)):13-20. Available from: https://sid.ir/paper/96937/en

IEEE: Copy

H.R. POURREZA, SEYED MOHAMMAD HOSSEIN BAHREYNI TOUSI, A.R. MAHDIZADEH, R. POURREZA, and MEYSAM TAVAKOLI, “AUTOMATIC DETECTION OF MICROANEURYSMS IN COLOR FUNDUS IMAGES USING A LOCAL RADON TRANSFORM METHOD,” IRANIAN JOURNAL OF MEDICAL PHYSICS, vol. 6, no. 1 (22), pp. 13–20, 2009, [Online]. Available: https://sid.ir/paper/96937/en

Related Journal Papers