Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6200587213 ISBN 13: 9786200587213
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Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6200587213 ISBN 13: 9786200587213
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Taschenbuch. Zustand: Neu. Classification of Hemorrhages for Diabetic Retinopathy Screening | Fundus Image Processing | P. Vasuki (u. a.) | Taschenbuch | 72 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786200587213 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing Feb 2020, 2020
ISBN 10: 6200587213 ISBN 13: 9786200587213
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Advances in the eye care telemedicine system aid the diabetic patients in remote areas to stop the unwanted visit to the ophthalmologist, reduces the overall time and money. Diabetic retinopathy, which causes sight loss, has the most common symptoms like microaneurysms, hemorrhages, cotton-wool spots, exudates and drusen. In this work, an efficient approach for the automatic detection of hemorrhages in color retinal images is proposed and validated. The color retinal images captured from the diabetic patients are enhanced by an effective Otsu method, Adaptive Histogram Equalization, K-means algorithm. A bag of features based on intensity, color and texture are extracted. Finally, the features are classified with the help of SVM with FUZZY classifier. The classifier performance is validated on two publicly available datasets (DIARETDB1, MESSIDOR). 72 pp. Englisch.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6200587213 ISBN 13: 9786200587213
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Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6200587213 ISBN 13: 9786200587213
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In den WarenkorbZustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Vasuki P.Dr. P. Vasuki is currently working as a Professor, Dept of ECE, Sethu Institute of Technology, Kariapatti, Tamil Nadu, India. She obtained her B.E (ECE) in MS university and her M.E (CSE) in MK University. She received her .
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing Feb 2020, 2020
ISBN 10: 6200587213 ISBN 13: 9786200587213
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Advances in the eye care telemedicine system aid the diabetic patients in remote areas to stop the unwanted visit to the ophthalmologist, reduces the overall time and money. Diabetic retinopathy, which causes sight loss, has the most common symptoms like microaneurysms, hemorrhages, cotton-wool spots, exudates and drusen. In this work, an efficient approach for the automatic detection of hemorrhages in color retinal images is proposed and validated. The color retinal images captured from the diabetic patients are enhanced by an effective Otsu method, Adaptive Histogram Equalization, K-means algorithm. A bag of features based on intensity, color and texture are extracted. Finally, the features are classified with the help of SVM with FUZZY classifier. The classifier performance is validated on two publicly available datasets (DIARETDB1, MESSIDOR).VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6200587213 ISBN 13: 9786200587213
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Advances in the eye care telemedicine system aid the diabetic patients in remote areas to stop the unwanted visit to the ophthalmologist, reduces the overall time and money. Diabetic retinopathy, which causes sight loss, has the most common symptoms like microaneurysms, hemorrhages, cotton-wool spots, exudates and drusen. In this work, an efficient approach for the automatic detection of hemorrhages in color retinal images is proposed and validated. The color retinal images captured from the diabetic patients are enhanced by an effective Otsu method, Adaptive Histogram Equalization, K-means algorithm. A bag of features based on intensity, color and texture are extracted. Finally, the features are classified with the help of SVM with FUZZY classifier. The classifier performance is validated on two publicly available datasets (DIARETDB1, MESSIDOR).