Sinossi
The changes in the retinal blood vessel features are used to diagnose multiple diseases and detect them at an early stage. In order to detect these changes a very crucial step is involved which is called as vessel segmentation process. Different diseases affect retinal vessels like neovascularization in diabetic retinopathy, heart stroke, and cardiovascular diseases. Retina image analysis plays a vital role in the medical diagnosis of multiple diseases. Diabetic retinopathy is considered one of the dreadful diseases that damage the retina and leads to vision loss. So segmentation of these blood vessels guides the ophthalmologists to assess the disease intensity accurately. It was observed that retina blood vessel structures are treated as an indispensable element for ophthalmologists in assessing cardiovascular diseases hence there is a great need to segment these vessel structures accurately which can be accomplished only through computer-aided diagnostic algorithms. In this book, an attempt is made to fulfill the need for accurate, robust, and fast automated vessel segmentation methods by investigating different works of image segmentation algorithms and techniques.
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Deep Learning Methods for Retinal Blood Vessel Image Extraction
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LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204752227
ISBN 13: 9786204752228
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Deep Learning Methods for Retinal Blood Vessel Image Extraction
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The changes in the retinal blood vessel features are used to diagnose multiple diseases and detect them at an early stage. In order to detect these changes a very crucial step is involved which is called as vessel segmentation process. Different diseases affect retinal vessels like neovascularization in diabetic retinopathy, heart stroke, and cardiovascular diseases. Retina image analysis plays a vital role in the medical diagnosis of multiple diseases. Diabetic retinopathy is considered one of the dreadful diseases that damage the retina and leads to vision loss. So segmentation of these blood vessels guides the ophthalmologists to assess the disease intensity accurately. It was observed that retina blood vessel structures are treated as an indispensable element for ophthalmologists in assessing cardiovascular diseases hence there is a great need to segment these vessel structures accurately which can be accomplished only through computer-aided diagnostic algorithms. In this book, an attempt is made to fulfill the need for accurate, robust, and fast automated vessel segmentation methods by investigating different works of image segmentation algorithms and techniques. 148 pp. Englisch. Codice articolo 9786204752228
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Deep Learning Methods for Retinal Blood Vessel Image Extraction
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LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204752227
ISBN 13: 9786204752228
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Deep Learning Methods for Retinal Blood Vessel Image Extraction
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ISBN 10: 6204752227
ISBN 13: 9786204752228
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Deep Learning Methods for Retinal Blood Vessel Image Extraction
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Deep Learning Methods for Retinal Blood Vessel Image Extraction
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Taschenbuch. Condizione: Neu. Deep Learning Methods for Retinal Blood Vessel Image Extraction | Shafiulla Basha Shaik (u. a.) | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786204752228 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Codice articolo 121991771
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Deep Learning Methods for Retinal Blood Vessel Image Extraction
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The changes in the retinal blood vessel features are used to diagnose multiple diseases and detect them at an early stage. In order to detect these changes a very crucial step is involved which is called as vessel segmentation process. Different diseases affect retinal vessels like neovascularization in diabetic retinopathy, heart stroke, and cardiovascular diseases. Retina image analysis plays a vital role in the medical diagnosis of multiple diseases. Diabetic retinopathy is considered one of the dreadful diseases that damage the retina and leads to vision loss. So segmentation of these blood vessels guides the ophthalmologists to assess the disease intensity accurately. It was observed that retina blood vessel structures are treated as an indispensable element for ophthalmologists in assessing cardiovascular diseases hence there is a great need to segment these vessel structures accurately which can be accomplished only through computer-aided diagnostic algorithms. In this book, an attempt is made to fulfill the need for accurate, robust, and fast automated vessel segmentation methods by investigating different works of image segmentation algorithms and techniques.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 148 pp. Englisch. Codice articolo 9786204752228
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Deep Learning Methods for Retinal Blood Vessel Image Extraction
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LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204752227
ISBN 13: 9786204752228
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The changes in the retinal blood vessel features are used to diagnose multiple diseases and detect them at an early stage. In order to detect these changes a very crucial step is involved which is called as vessel segmentation process. Different diseases affect retinal vessels like neovascularization in diabetic retinopathy, heart stroke, and cardiovascular diseases. Retina image analysis plays a vital role in the medical diagnosis of multiple diseases. Diabetic retinopathy is considered one of the dreadful diseases that damage the retina and leads to vision loss. So segmentation of these blood vessels guides the ophthalmologists to assess the disease intensity accurately. It was observed that retina blood vessel structures are treated as an indispensable element for ophthalmologists in assessing cardiovascular diseases hence there is a great need to segment these vessel structures accurately which can be accomplished only through computer-aided diagnostic algorithms. In this book, an attempt is made to fulfill the need for accurate, robust, and fast automated vessel segmentation methods by investigating different works of image segmentation algorithms and techniques. Codice articolo 9786204752228
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