Detection of Diabetic Retinopathy Using Deep Learning: Diabetic Retinopathy - Couverture souple

G., Karpagameenakshi ; Juliet, A. Vimala

9786206151203: Detection of Diabetic Retinopathy Using Deep Learning: Diabetic Retinopathy

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ISBN 10 : 6206151204 ISBN 13 : 9786206151203

Editeur : LAP LAMBERT Academic Publishing, 2023

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In this book, a deep learning technique called Convolution Neural Network (CNN) is deployed for determining the level of DR with accuracy. Hence, for training, this network, fundus image dataset from a public resource called Kaggle is utilized. But, before feeding the dataset into a deep learning model, the images are pre-processed using the libraries present in python, so that the model can accurately classify the test input image into the respective diabetic retinopathy class. Thus, the proposed deep learning model helps in identifying DR automatically at its earlier stage, thus helping in controlling its progression that leads to vision-related problems.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: LAP LAMBERT Academic Publishing
Date d'�dition: 2023
Langue: anglais
ISBN 10: 6206151204
ISBN 13: 9786206151203
Reliure: Broch�
Nombre de pages: 68
Coordonn�es du fabricant: non disponible
Personne responsable: non disponible

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Detection of Diabetic Retinopathy Using Deep Learning

G., Karpagameenakshi; Juliet, A. Vimala

Edit� par LAP LAMBERT Academic Publishing, 2023

ISBN 10 : 6206151204 ISBN 13 : 9786206151203

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Detection of Diabetic Retinopathy Using Deep Learning

G., Karpagameenakshi; Juliet, A. Vimala

Edit� par LAP LAMBERT Academic Publishing, 2023

ISBN 10 : 6206151204 ISBN 13 : 9786206151203

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Detection of Diabetic Retinopathy Using Deep Learning: Diabetic Retinopathy

G., Karpagameenakshi; Juliet, A. Vimala

Edit� par LAP LAMBERT Academic Publishing, 2023

ISBN 10 : 6206151204 ISBN 13 : 9786206151203

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Detection of Diabetic Retinopathy Using Deep Learning

Karpagameenakshi G.

Edit� par LAP LAMBERT Academic Publishing Mrz 2023, 2023

ISBN 10 : 6206151204 ISBN 13 : 9786206151203

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this book, a deep learning technique called Convolution Neural Network (CNN) is deployed for determining the level of DR with accuracy. Hence, for training, this network, fundus image dataset from a public resource called Kaggle is utilized. But, before feeding the dataset into a deep learning model, the images are pre-processed using the libraries present in python, so that the model can accurately classify the test input image into the respective diabetic retinopathy class. Thus, the proposed deep learning model helps in identifying DR automatically at its earlier stage, thus helping in controlling its progression that leads to vision-related problems. 68 pp. Englisch. N� de r�f. du vendeur 9786206151203

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Detection of Diabetic Retinopathy Using Deep Learning

G., Karpagameenakshi|Juliet, A. Vimala

Edit� par LAP Lambert Academic Publishing, 2023

ISBN 10 : 6206151204 ISBN 13 : 9786206151203

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Vendeur : moluna, Greven, Allemagne

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. In this book, a deep learning technique called Convolution Neural Network (CNN) is deployed for determining the level of DR with accuracy. Hence, for training, this network, fundus image dataset from a public resource called Kaggle is utilized. But, before . N� de r�f. du vendeur 863316494

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Detection of Diabetic Retinopathy Using Deep Learning

Karpagameenakshi G.

Edit� par LAP LAMBERT Academic Publishing M�r 2023, 2023

ISBN 10 : 6206151204 ISBN 13 : 9786206151203

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this book, a deep learning technique called Convolution Neural Network (CNN) is deployed for determining the level of DR with accuracy. Hence, for training, this network, fundus image dataset from a public resource called Kaggle is utilized. But, before feeding the dataset into a deep learning model, the images are pre-processed using the libraries present in python, so that the model can accurately classify the test input image into the respective diabetic retinopathy class. Thus, the proposed deep learning model helps in identifying DR automatically at its earlier stage, thus helping in controlling its progression that leads to vision-related problems.VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 68 pp. Englisch. N� de r�f. du vendeur 9786206151203

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Detection of Diabetic Retinopathy Using Deep Learning : Diabetic Retinopathy

Karpagameenakshi G.

Edit� par LAP LAMBERT Academic Publishing, 2023

ISBN 10 : 6206151204 ISBN 13 : 9786206151203

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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book, a deep learning technique called Convolution Neural Network (CNN) is deployed for determining the level of DR with accuracy. Hence, for training, this network, fundus image dataset from a public resource called Kaggle is utilized. But, before feeding the dataset into a deep learning model, the images are pre-processed using the libraries present in python, so that the model can accurately classify the test input image into the respective diabetic retinopathy class. Thus, the proposed deep learning model helps in identifying DR automatically at its earlier stage, thus helping in controlling its progression that leads to vision-related problems. N� de r�f. du vendeur 9786206151203

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