Diagnosis of Diabetic Retinopathy Using Processing of Fundus Images and Morphological Techniques
Introduction: Diabetic retinopathy is the damaging effect of diabetes on retinal blood vessels that can cause blindness when diagnosed late. Microaneurysms are early signs of the disease that their early diagnosis promotes timely treatment and prevents disease progression. Since this disease is asym...
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| Format: | Article |
| Language: | fas |
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Kerman University of Medical Sciences
2019-12-01
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| Series: | مجله انفورماتیک سلامت و زیست پزشکی |
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| Online Access: | http://jhbmi.ir/article-1-361-en.html |
| _version_ | 1811176262869188608 |
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| author | Maedeh Taji Saeed Ayat |
| author_facet | Maedeh Taji Saeed Ayat |
| author_sort | Maedeh Taji |
| collection | DOAJ |
| description | Introduction: Diabetic retinopathy is the damaging effect of diabetes on retinal blood vessels that can cause blindness when diagnosed late. Microaneurysms are early signs of the disease that their early diagnosis promotes timely treatment and prevents disease progression. Since this disease is asymptomatic and can only be detected by ophthalmologists, diabetic patients should be tested regularly. On the other hand, given the fact that the increase rate of the number of ophthalmologists is less than the growth of the diabetic population, manual diagnosis of the lesion is time consuming and costly, and thus the design of automatic detection systems is essential.
Method: In this descriptive analytic study, the fundus images of the retina were subjected to preprocessing. Then, the candidate regions of microanurysms were determined using the metric and morphological operators Bottom-hat and Hit-or-Miss. In the next step, using principal component analysis, the specificity of main feature of real microanurysms diagnosis was extracted. The DiaRetDB1 database images were used to evaluate the proposed algorithm.
Results: The purpose of this research was to develop an automated method for the detection of microanurysms that can help ophthalmologists in the process of diabetic retinopathy screening and diagnosing the symptoms faster, easier and at lower cost. In evaluation, the proposed method achieved a sensitivity of 87.6%, specificity of 98.7% and the precision of 85.7%.
Conclusion: According to the results obtained based on evaluation parameters, the proposed method is one of the most accurate algorithms in this field. |
| first_indexed | 2024-04-10T19:49:11Z |
| format | Article |
| id | doaj.art-145059bc8f8d4e13a66c80ce943532eb |
| institution | Directory Open Access Journal |
| issn | 2423-3870 2423-3498 |
| language | fas |
| last_indexed | 2024-04-10T19:49:11Z |
| publishDate | 2019-12-01 |
| publisher | Kerman University of Medical Sciences |
| record_format | Article |
| series | مجله انفورماتیک سلامت و زیست پزشکی |
| spelling | doaj.art-145059bc8f8d4e13a66c80ce943532eb2023-01-28T10:31:06ZfasKerman University of Medical Sciencesمجله انفورماتیک سلامت و زیست پزشکی2423-38702423-34982019-12-0163218230Diagnosis of Diabetic Retinopathy Using Processing of Fundus Images and Morphological TechniquesMaedeh Taji0Saeed Ayat1 M.S.c Student in Computer Engineering, Computer Engineering and IT Dept., Najafabad Payame Noor University, Najafabad, Iran Ph.D in Computer Engineering, Associate Professor, Computer Engineering and IT Dept., Payame Noor University, Najafabad, Iran Introduction: Diabetic retinopathy is the damaging effect of diabetes on retinal blood vessels that can cause blindness when diagnosed late. Microaneurysms are early signs of the disease that their early diagnosis promotes timely treatment and prevents disease progression. Since this disease is asymptomatic and can only be detected by ophthalmologists, diabetic patients should be tested regularly. On the other hand, given the fact that the increase rate of the number of ophthalmologists is less than the growth of the diabetic population, manual diagnosis of the lesion is time consuming and costly, and thus the design of automatic detection systems is essential. Method: In this descriptive analytic study, the fundus images of the retina were subjected to preprocessing. Then, the candidate regions of microanurysms were determined using the metric and morphological operators Bottom-hat and Hit-or-Miss. In the next step, using principal component analysis, the specificity of main feature of real microanurysms diagnosis was extracted. The DiaRetDB1 database images were used to evaluate the proposed algorithm. Results: The purpose of this research was to develop an automated method for the detection of microanurysms that can help ophthalmologists in the process of diabetic retinopathy screening and diagnosing the symptoms faster, easier and at lower cost. In evaluation, the proposed method achieved a sensitivity of 87.6%, specificity of 98.7% and the precision of 85.7%. Conclusion: According to the results obtained based on evaluation parameters, the proposed method is one of the most accurate algorithms in this field.http://jhbmi.ir/article-1-361-en.htmldiabetic retinopathyfundus imagesmicroaneurysmsmorphological techniquesprincipal component analysis |
| spellingShingle | Maedeh Taji Saeed Ayat Diagnosis of Diabetic Retinopathy Using Processing of Fundus Images and Morphological Techniques مجله انفورماتیک سلامت و زیست پزشکی diabetic retinopathy fundus images microaneurysms morphological techniques principal component analysis |
| title | Diagnosis of Diabetic Retinopathy Using Processing of Fundus Images and Morphological Techniques |
| title_full | Diagnosis of Diabetic Retinopathy Using Processing of Fundus Images and Morphological Techniques |
| title_fullStr | Diagnosis of Diabetic Retinopathy Using Processing of Fundus Images and Morphological Techniques |
| title_full_unstemmed | Diagnosis of Diabetic Retinopathy Using Processing of Fundus Images and Morphological Techniques |
| title_short | Diagnosis of Diabetic Retinopathy Using Processing of Fundus Images and Morphological Techniques |
| title_sort | diagnosis of diabetic retinopathy using processing of fundus images and morphological techniques |
| topic | diabetic retinopathy fundus images microaneurysms morphological techniques principal component analysis |
| url | http://jhbmi.ir/article-1-361-en.html |
| work_keys_str_mv | AT maedehtaji diagnosisofdiabeticretinopathyusingprocessingoffundusimagesandmorphologicaltechniques AT saeedayat diagnosisofdiabeticretinopathyusingprocessingoffundusimagesandmorphologicaltechniques |