Diabetic Retinopathy: Automatic Detection of Diabetic Retinopathy in Retinal Images Using Neural Network - Couverture souple
Synopsis
As a weakly supervised learning technique, neural network (NN) has shown an advantage over supervised learning methods for automatic detection of diabetic retinopathy (DR): only the image-level annotation is needed to achieve both detections of DR images and DR lesions, making more graded and de-identified retinal images available for learning. However, the performance of existing studies on this technique is limited by the use of handcrafted features. We propose a NN method for DR detection, which jointly learns features and classifiers from data and achieves a significant improvement on detecting DR images and their inside lesions. Specifically, a pre-trained neural network is adapted to achieve the patch-level DR estimation, and then global aggregation is used to make the classification of DR images.
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Diabetic Retinopathy
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LAP LAMBERT Academic Publishing Jan 2021, 2021
ISBN 10 : 6203306061
ISBN 13 : 9786203306064
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -As a weakly supervised learning technique, neural network (NN) has shown an advantage over supervised learning methods for automatic detection of diabetic retinopathy (DR): only the image-level annotation is needed to achieve both detections of DR images and DR lesions, making more graded and de-identified retinal images available for learning. However, the performance of existing studies on this technique is limited by the use of handcrafted features. We propose a NN method for DR detection, which jointly learns features and classifiers from data and achieves a significant improvement on detecting DR images and their inside lesions. Specifically, a pre-trained neural network is adapted to achieve the patch-level DR estimation, and then global aggregation is used to make the classification of DR images. 72 pp. Englisch. N° de réf. du vendeur 9786203306064
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Diabetic Retinopathy
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shaik Shafiulla BashaDr. S. Shafiulla Basha is working as an Assistant Professor in the Department of ECE at Y.S.R. Engineering College of Yogi Vemana University, Proddatur, India. He published 20 research articles in various journal. N° de réf. du vendeur 452579743
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Diabetic Retinopathy
Edité par
LAP LAMBERT Academic Publishing Jan 2021, 2021
ISBN 10 : 6203306061
ISBN 13 : 9786203306064
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -As a weakly supervised learning technique, neural network (NN) has shown an advantage over supervised learning methods for automatic detection of diabetic retinopathy (DR): only the image-level annotation is needed to achieve both detections of DR images and DR lesions, making more graded and de-identified retinal images available for learning. However, the performance of existing studies on this technique is limited by the use of handcrafted features. We propose a NN method for DR detection, which jointly learns features and classifiers from data and achieves a significant improvement on detecting DR images and their inside lesions. Specifically, a pre-trained neural network is adapted to achieve the patch-level DR estimation, and then global aggregation is used to make the classification of DR images.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch. N° de réf. du vendeur 9786203306064
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Diabetic Retinopathy : Automatic Detection of Diabetic Retinopathy in Retinal Images Using Neural Network
Edité par
LAP LAMBERT Academic Publishing, 2021
ISBN 10 : 6203306061
ISBN 13 : 9786203306064
Neuf
Taschenbuch
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As a weakly supervised learning technique, neural network (NN) has shown an advantage over supervised learning methods for automatic detection of diabetic retinopathy (DR): only the image-level annotation is needed to achieve both detections of DR images and DR lesions, making more graded and de-identified retinal images available for learning. However, the performance of existing studies on this technique is limited by the use of handcrafted features. We propose a NN method for DR detection, which jointly learns features and classifiers from data and achieves a significant improvement on detecting DR images and their inside lesions. Specifically, a pre-trained neural network is adapted to achieve the patch-level DR estimation, and then global aggregation is used to make the classification of DR images. N° de réf. du vendeur 9786203306064
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Diabetic Retinopathy | Automatic Detection of Diabetic Retinopathy in Retinal Images Using Neural Network
Edité par
LAP LAMBERT Academic Publishing, 2021
ISBN 10 : 6203306061
ISBN 13 : 9786203306064
Neuf
Taschenbuch
Vendeur : preigu, Osnabrück, Allemagne
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Taschenbuch. Etat : Neu. Diabetic Retinopathy | Automatic Detection of Diabetic Retinopathy in Retinal Images Using Neural Network | Shafiulla Basha Shaik (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786203306064 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 119693449
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