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001-es BibID:BIBFORM039145
Első szerző:Antal Bálint (informatikus)
Cím:A two-phase decision support framework for the automatic screening of digital fundus images / Bálint Antal, András Hajdu, Zsuzsanna Maros-Szabó, Zsolt Török, Adrienne Csutak, Tünde Pető
Dátum:2012
ISSN:1877-7503
Megjegyzések:In this paper we give a brief review on the present status of automated detection systems describe for the screening of diabetic retinopathy. We further detail an enhanced detection procedure that consists of two steps. First, a pre-screening algorithm is considered to classify the input digital fundus images based on the severity of abnormalities. If an image is found to be seriously abnormal, it will not be analysed further with robust lesion detector algorithms. As a further improvement, we introduce a novel feature extraction approach based on clinical observations. The second step of the proposed method detects regions of interest with possible lesions on the images that previously passed the pre-screening step. These regions will serve as input to the specific lesion detectors for detailed analysis. This procedure can increase the computational performance of a screening system. Experimental results show that both two steps of the proposed approach are capable to efficiently exclude a large amount of data from further processing, thus, to decrease the computational burden of the automatic screening system.
Tárgyszavak:Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény külföldi lapban
Biomedical image processing
Medical decision-making
Medical expert systems
Automated detection
Automatic screening
Bio-medical image processing
Clinical observation
Computational burden
Computational performance
Decision support framework
Diabetic retinopathy
Digital fundus images
Medical decision making
Medical expert system
Pre-screening algorithms
Present status
Regions of interest
Screening system
Algorithms
Eye protection
Feature extraction
Image processing
Decision support systems
Megjelenés:Journal of Computational Science. - 3 : 5 (2012), p. 262-268. -
További szerzők:Hajdu András (1973-) (matematikus, informatikus) Maros-Szabó Zsuzsanna (1978-) Török Zsolt (1975-) (orvos) Csutak Adrienne (1971-) (szemész) Pető Tünde (1970-) (orvos, szemész)
Internet cím:Szerző által megadott URL
DOI
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2.

001-es BibID:BIBFORM029655
Első szerző:Antal Bálint (informatikus)
Cím:Evaluation of the grading performance of an ensemble-based microaneurysm detector / Bálint Antal, István Lázár, András Hajdu, Zsolt Török, Adrienne Csutak, Tünde Pető
Dátum:2011
ISSN:1557-170X
Megjegyzések:In this paper, results of a diabetic retinopathy screening experiment are presented which is based solely on the findings of a microaneurysm detector. For this purpose, an ensemble-based algorithm developed by our research group was used; this provided promising results in our earlier experiments. At its best, the 1200 image of the Messidor database is classified by this detector with a sensitivity of 96%, a specificity of 51% and achieved an AUC of 0.87. As anticipated, larger microaneurysm counts are recognized with higher level of certainty. Therefore, this approach might be expected to have good performance in relation to the severity of the disease.
Tárgyszavak:Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény külföldi lapban
algorithm
aneurysm
article
automated pattern recognition
computer assisted diagnosis
diabetic retinopathy
evaluation
human
image enhancement
methodology
pathology
reproducibility
retina artery
retinoscopy
sensitivity and specificity
Algorithms
Aneurysm
Diabetic Retinopathy
Humans
Image Enhancement
Image Interpretation, Computer-Assisted
Pattern Recognition, Automated
Reproducibility of Results
Retinal Artery
Retinoscopy
Sensitivity and Specificity
Megjelenés:Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2011 (2011), p. 5943-5946. -
További szerzők:Lázár István (1986-) (programtervező matematikus) Hajdu András (1973-) (matematikus, informatikus) Török Zsolt (1975-) (orvos) Csutak Adrienne (1971-) (szemész) Pető Tünde (1970-) (orvos, szemész)
Internet cím:DOI
Intézményi repozitóriumban (DEA) tárolt változat
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3.

001-es BibID:BIBFORM012442
Első szerző:Antal Bálint (informatikus)
Cím:A multi-level ensemble-based system for detecting microaneurysms in fundus images / Antal, B., Lazar, I., Hajdu, A., Torok, Z., Csutak, A., Peto, T.
Dátum:2010
Megjegyzések:In this paper, we present a complex approach to improve microaneurysm detection in color fundus images. Microaneurysms are early signs of diabetic retinopathy, so it is essential to detect these lesions accurately in an automatic screening system. The recommended detection of microaneurysms is realized through several levels. First, a specific combination of different preprocessing methods for candidate extractors is found. Then, we select candidates voted by a certain number of the candidate extractor algorithms. At all these levels, optimal adjustments are determined by corresponding simulated annealing algorithms. Finally, we classify the candidates with a machine-learning based approach considering an optimal feature vector selection determined by a feature subset selection algorithm. Our framework improves the positive likelihood ratio for the microaneurysms and outperforms both the state-of-the-art individual candidate extractors and microaneurysm detectors in these measures.
ISBN:978-1-4244-7985-6
Tárgyszavak:Műszaki tudományok Informatikai tudományok előadáskivonat
utomatic screening
Diabetic retinopathy
Feature subset selection
Feature vector selection
Fundus image
Likelihood ratios
Machine-learning
Microaneurysms
Multi-level
Pre-processing method
Simulated annealing algorithms
Algorithms
Detectors
Eye protection
Face recognition
Feature extraction
Image enhancement
Soft computing
Simulated annealing
Megjelenés:Soft Computing Applications (SOFA), 2010 4th International Workshop on. - p. 137-142. -
További szerzők:Lázár István (1986-) (programtervező matematikus) Hajdu András (1973-) (matematikus, informatikus) Török Zsolt (1975-) (orvos) Csutak Adrienne (1971-) (szemész) Pető Tünde (1970-) (orvos, szemész)
Internet cím:Intézményi repozitóriumban (DEA) tárolt változat
DOI
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