COMPUTER HYBRID SYSTEM OF HEMORRHAGE (HES) DETECTION USED FOR AIDED DIAGNOSIS OF DIABETIC RETINOPATHY.
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| Title: | COMPUTER HYBRID SYSTEM OF HEMORRHAGE (HES) DETECTION USED FOR AIDED DIAGNOSIS OF DIABETIC RETINOPATHY. |
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| Authors: | FEROUI, A.1 (AUTHOR) |
| Source: | Journal of Mechanics in Medicine & Biology. Aug2021, Vol. 21 Issue 6, p1-22. 22p. |
| Subjects: | Hybrid computers (Computer architecture), Diabetic retinopathy, Hybrid systems, Computer systems, Hemorrhage |
| Abstract: | Diabetes cause's metabolic and physiological abnormalities in the retina and the changes suggest a role for inflammation in the development of diabetic retinopathy. Abnormal blood vessels can form in the back of the eye of a person with diabetes. These new blood vessels are weaker and prone to breaking and causing hemorrhage (HEs). Diabetic retinopathy (DR) accounts for 31.5–54% of all cases of vitreous hemorrhage in adults in the world. Therefore, detection of HEs is still a challenging factor task for computer-aided diagnostics of DR. Many researchers have developed advanced algorithms of hemorrhages detection using fundus images. In this paper, a robust and computationally efficient approach for HEs with different shape and size detection and classification is presented. First, brightness correction and contrast enhancement are applied to fundus images. Second, candidate hemorrhages are extracted by using an unsupervised classification algorithm. Third, an approach based on mathematical morphology is carried out for vascular network and macula segmentation. Finally, a total of 13 HEs features are considered in this study and selected for classification. The proposed method is evaluated on 419 fundus images of DIARETDB0, DIARETDB1 and MESSIDOR databases. Experimental results show that overall average sensitivity, specificity, predictive value and accuracy for hemorrhage in lesion level are 98.90%, 99.66%, 97.63% and 99.56%, respectively. The results show that the proposed method outperforms other state-of-the-art methods in detection of hemorrhages. These results indicate that this new method may improve the performance of diagnosis of DR system. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Mechanics in Medicine & Biology is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 152206593 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: COMPUTER HYBRID SYSTEM OF HEMORRHAGE (HES) DETECTION USED FOR AIDED DIAGNOSIS OF DIABETIC RETINOPATHY. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22FEROUI%2C+A%2E%22">FEROUI, A.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> <email>a.bessaid@gmail.com</email></i><br /><searchLink fieldCode="AR" term="%22MESSADI%2C+M%2E%22">MESSADI, M.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> m_messadi@yahoo.fr</i><br /><searchLink fieldCode="AR" term="%22LAZOUNI%2C+A%2E%22">LAZOUNI, A.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> <email>a.bessaid@gmail.com</email></i><br /><searchLink fieldCode="AR" term="%22BESSAID%2C+A%2E%22">BESSAID, A.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> a.bessaid@gmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Mechanics+in+Medicine+%26+Biology%22">Journal of Mechanics in Medicine & Biology</searchLink>. Aug2021, Vol. 21 Issue 6, p1-22. 22p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Hybrid+computers+%28Computer+architecture%29%22">Hybrid computers (Computer architecture)</searchLink><br /><searchLink fieldCode="DE" term="%22Diabetic+retinopathy%22">Diabetic retinopathy</searchLink><br /><searchLink fieldCode="DE" term="%22Hybrid+systems%22">Hybrid systems</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+systems%22">Computer systems</searchLink><br /><searchLink fieldCode="DE" term="%22Hemorrhage%22">Hemorrhage</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Diabetes cause's metabolic and physiological abnormalities in the retina and the changes suggest a role for inflammation in the development of diabetic retinopathy. Abnormal blood vessels can form in the back of the eye of a person with diabetes. These new blood vessels are weaker and prone to breaking and causing hemorrhage (HEs). Diabetic retinopathy (DR) accounts for 31.5–54% of all cases of vitreous hemorrhage in adults in the world. Therefore, detection of HEs is still a challenging factor task for computer-aided diagnostics of DR. Many researchers have developed advanced algorithms of hemorrhages detection using fundus images. In this paper, a robust and computationally efficient approach for HEs with different shape and size detection and classification is presented. First, brightness correction and contrast enhancement are applied to fundus images. Second, candidate hemorrhages are extracted by using an unsupervised classification algorithm. Third, an approach based on mathematical morphology is carried out for vascular network and macula segmentation. Finally, a total of 13 HEs features are considered in this study and selected for classification. The proposed method is evaluated on 419 fundus images of DIARETDB0, DIARETDB1 and MESSIDOR databases. Experimental results show that overall average sensitivity, specificity, predictive value and accuracy for hemorrhage in lesion level are 98.90%, 99.66%, 97.63% and 99.56%, respectively. The results show that the proposed method outperforms other state-of-the-art methods in detection of hemorrhages. These results indicate that this new method may improve the performance of diagnosis of DR system. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Mechanics in Medicine & Biology is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1142/S0219519421500445 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 1 Subjects: – SubjectFull: Hybrid computers (Computer architecture) Type: general – SubjectFull: Diabetic retinopathy Type: general – SubjectFull: Hybrid systems Type: general – SubjectFull: Computer systems Type: general – SubjectFull: Hemorrhage Type: general Titles: – TitleFull: COMPUTER HYBRID SYSTEM OF HEMORRHAGE (HES) DETECTION USED FOR AIDED DIAGNOSIS OF DIABETIC RETINOPATHY. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: FEROUI, A. – PersonEntity: Name: NameFull: MESSADI, M. – PersonEntity: Name: NameFull: LAZOUNI, A. – PersonEntity: Name: NameFull: BESSAID, A. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2021 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 02195194 Numbering: – Type: volume Value: 21 – Type: issue Value: 6 Titles: – TitleFull: Journal of Mechanics in Medicine & Biology Type: main |
| ResultId | 1 |
