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Diagnostic of Glaucoma
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LAP LAMBERT Academic Publishing Nov 2019, 2019
ISBN 10: 6200472793
ISBN 13: 9786200472793
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Glaucoma is a chronic eye disease that leads to vision loss. As it cannot be cured, detecting the disease in time is important. At present to detect Glaucoma intraocular pressure (IOP) method is used. It is a fluid pressure inside the eye. The intraocular pressure (IOP) measurement uses tonometry, which sometimes may increases the pressure due to which optic nerve is damaged. Optic nerve head assessment in retinal fundus images is both more promising and superior. This method uses 3D fundus images. 3D images are not easily available and of high cost. So to avoid these problems glaucoma screening using superpixel classification is used. This research proposes optic disc and optic cup segmentation using superpixel classification for glaucoma screening. It uses the 2D fundus images. In optic disc segmentation, clustering algorithms are used to classify each superpixel as disc or non-disc. The Cup to Disc Ratio (CDR) of the color retinal fundus camera image is the primary identifier to confirm Glaucoma for a given patient. 84 pp. Englisch. Nº de ref. del artículo: 9786200472793
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Diagnostic of Glaucoma: Using Super Pixel Classification and Clustering Methods
Publicado por
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200472793
ISBN 13: 9786200472793
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Librería: Books Puddle, New York, NY, Estados Unidos de America
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Diagnostic of Glaucoma: Using Super Pixel Classification and Clustering Methods
Publicado por
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200472793
ISBN 13: 9786200472793
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Librería: Majestic Books, Hounslow, Reino Unido
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Condición: New. Print on Demand. Nº de ref. del artículo: 400141419
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Diagnostic of Glaucoma: Using Super Pixel Classification and Clustering Methods
Publicado por
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200472793
ISBN 13: 9786200472793
Nuevo
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Condición: New. PRINT ON DEMAND. Nº de ref. del artículo: 18397284286
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Diagnostic of Glaucoma
Publicado por
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200472793
ISBN 13: 9786200472793
Nuevo
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Librería: moluna, Greven, Alemania
Calificación del vendedor: 4 de 5 estrellas
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mannepalli Praveen KumarDr. Praveen Kumar Mannepalli, at present, He is working as an Associate professor in the Department of Computer Science & Engineering from Lnct University, Bhopal. He did a Bachelors of Technology from JNTU, . Nº de ref. del artículo: 497105598
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Diagnostic of Glaucoma
Publicado por
LAP LAMBERT Academic Publishing Nov 2019, 2019
ISBN 10: 6200472793
ISBN 13: 9786200472793
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware -Glaucoma is a chronic eye disease that leads to vision loss. As it cannot be cured, detecting the disease in time is important. At present to detect Glaucoma intraocular pressure (IOP) method is used. It is a fluid pressure inside the eye. The intraocular pressure (IOP) measurement uses tonometry, which sometimes may increases the pressure due to which optic nerve is damaged. Optic nerve head assessment in retinal fundus images is both more promising and superior. This method uses 3D fundus images. 3D images are not easily available and of high cost. So to avoid these problems glaucoma screening using superpixel classification is used. This research proposes optic disc and optic cup segmentation using superpixel classification for glaucoma screening. It uses the 2D fundus images. In optic disc segmentation, clustering algorithms are used to classify each superpixel as disc or non-disc. The Cup to Disc Ratio (CDR) of the color retinal fundus camera image is the primary identifier to confirm Glaucoma for a given patient.Books on Demand GmbH, Überseering 33, 22297 Hamburg 84 pp. Englisch. Nº de ref. del artículo: 9786200472793
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Diagnostic of Glaucoma : Using Super Pixel Classification and Clustering Methods
Publicado por
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200472793
ISBN 13: 9786200472793
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Glaucoma is a chronic eye disease that leads to vision loss. As it cannot be cured, detecting the disease in time is important. At present to detect Glaucoma intraocular pressure (IOP) method is used. It is a fluid pressure inside the eye. The intraocular pressure (IOP) measurement uses tonometry, which sometimes may increases the pressure due to which optic nerve is damaged. Optic nerve head assessment in retinal fundus images is both more promising and superior. This method uses 3D fundus images. 3D images are not easily available and of high cost. So to avoid these problems glaucoma screening using superpixel classification is used. This research proposes optic disc and optic cup segmentation using superpixel classification for glaucoma screening. It uses the 2D fundus images. In optic disc segmentation, clustering algorithms are used to classify each superpixel as disc or non-disc. The Cup to Disc Ratio (CDR) of the color retinal fundus camera image is the primary identifier to confirm Glaucoma for a given patient. Nº de ref. del artículo: 9786200472793
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Diagnostic of Glaucoma | Using Super Pixel Classification and Clustering Methods
Publicado por
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200472793
ISBN 13: 9786200472793
Nuevo
Taschenbuch
Librería: preigu, Osnabrück, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Diagnostic of Glaucoma | Using Super Pixel Classification and Clustering Methods | Praveen Kumar Mannepalli | Taschenbuch | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200472793 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 120469493
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