9786206737384 - retinal (glaucoma) image synthesis: using traditional and advanced data augmentation techniques de yerrarapu, sravani devi (8 resultados)
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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Taschenbuch. Condición: Neu. Retinal (Glaucoma) Image Synthesis | Using Traditional and Advanced Data Augmentation Techniques | Sravani Devi Yerrarapu | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206737384 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osn…abrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The human eye is an organ that reacts to light and pressure. Many diseases, disorders, and age-related changes may affect the eyes and surrounding structures. One of the eye diseases is glaucoma. Glaucoma is a condition in which flu…id pressure rises within the eye. Without treatment, it can damage the optic nerve and lead to vision loss. The early detection of glaucoma minimizes the risk of vision loss. The proposed model synthesizes highly realistic controllable fundus images to obtain precision in detecting glaucoma through a deep learning model.A generative adversarial network (GAN) is an unsupervised machine learning technique that can be used to augment datasets and yield collected images to be indistinguishable from real-world data. The Deep Convolutional GAN (DCGAN), another variant of GAN, suggests the architectural constraints on the model required to develop high-quality generator models effectively. The enhanced dataset, obtained from data augmentation and the original ACRIMA dataset of fundus images, are separately given to the CNN classification model for detecting glaucoma disease. 60 pp. Englisch.
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The human eye is an organ that reacts to light and pressure. Many diseases, disorders, and age-related changes may affect the eyes and surrounding structures. One of the eye diseases is glaucoma. Glaucoma is a conditi…on in which fluid pressure rises within .
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The human eye is an organ that reacts to light and pressure. Many diseases, disorders, and age-related changes may affect the eyes and surrounding structures. One of the eye diseases is glaucoma. Glaucoma is a condition in which fluid p…ressure rises within the eye. Without treatment, it can damage the optic nerve and lead to vision loss. The early detection of glaucoma minimizes the risk of vision loss. The proposed model synthesizes highly realistic controllable fundus images to obtain precision in detecting glaucoma through a deep learning model.A generative adversarial network (GAN) is an unsupervised machine learning technique that can be used to augment datasets and yield collected images to be indistinguishable from real-world data. The Deep Convolutional GAN (DCGAN), another variant of GAN, suggests the architectural constraints on the model required to develop high-quality generator models effectively. The enhanced dataset, obtained from data augmentation and the original ACRIMA dataset of fundus images, are separately given to the CNN classification model for detecting glaucoma disease.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Englisch.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The human eye is an organ that reacts to light and pressure. Many diseases, disorders, and age-related changes may affect the eyes and surrounding structures. One of the eye diseases is glaucoma. Glaucoma is a condition in which fluid pr…essure rises within the eye. Without treatment, it can damage the optic nerve and lead to vision loss. The early detection of glaucoma minimizes the risk of vision loss. The proposed model synthesizes highly realistic controllable fundus images to obtain precision in detecting glaucoma through a deep learning model.A generative adversarial network (GAN) is an unsupervised machine learning technique that can be used to augment datasets and yield collected images to be indistinguishable from real-world data. The Deep Convolutional GAN (DCGAN), another variant of GAN, suggests the architectural constraints on the model required to develop high-quality generator models effectively. The enhanced dataset, obtained from data augmentation and the original ACRIMA dataset of fundus images, are separately given to the CNN classification model for detecting glaucoma disease.
