Classification and automatic segmentation for Detection Leukemia: segmenting the nuclei of white blood cells based on Gram Schmidt orthogonalization and sparse representations for ivh
Jadhav, Dr. Jagannath; Sonavale, Prof.Amruta
ISBN 10: 6202814829 ISBN 13: 9786202814829
Edité par LAP LAMBERT Academic Publishing, 2020
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The proposed work is to present a methodology for segmenting the nuclei of white blood cells based on Gram Schmidt orthogonalization & Sparse Representation for white blood cells classification. The differential counting of white blood cells reveals invaluable information to hematologist. These informations are very useful to hematologist for diagnosis and treatment of many diseases. The nucleus of white blood cells has the most information about type of white blood cells, thus an accurate segmentation of white blood cell’s nucleus seems to be helpful for other stages of automatic recognition of white blood cells. The system will focus on features of white blood cells to detect, Leukemia disease.The system will use features of microscopic images & examine changes on texture, geometry, color, statistical. Changes in these features will be used as a classifier input.
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Titre : Classification and automatic segmentation ...
Éditeur : LAP LAMBERT Academic Publishing
Date d'édition : 2020
Reliure : Couverture souple
Etat : New
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Classification and automatic segmentation for Detection Leukemia
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LAP LAMBERT Academic Publishing, 2020
ISBN 10 : 6202814829
ISBN 13 : 9786202814829
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Classification and automatic segmentation for Detection Leukemia
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ISBN 10 : 6202814829
ISBN 13 : 9786202814829
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Taschenbuch. Etat : Neu. Neuware -The proposed work is to present a methodology for segmenting the nuclei of white blood cells based on Gram Schmidt orthogonalization & Sparse Representation for white blood cells classification. The differential counting of white blood cells reveals invaluable information to hematologist. These informations are very useful to hematologist for diagnosis and treatment of many diseases. The nucleus of white blood cells has the most information about type of white blood cells, thus an accurate segmentation of white blood cell¿s nucleus seems to be helpful for other stages of automatic recognition of white blood cells. The system will focus on features of white blood cells to detect, Leukemia disease.The system will use features of microscopic images & examine changes on texture, geometry, color, statistical. Changes in these features will be used as a classifier input.Books on Demand GmbH, Überseering 33, 22297 Hamburg 56 pp. Englisch. N° de réf. du vendeur 9786202814829
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Classification and automatic segmentation for Detection Leukemia
Edité par
LAP LAMBERT Academic Publishing Sep 2020, 2020
ISBN 10 : 6202814829
ISBN 13 : 9786202814829
Neuf
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The proposed work is to present a methodology for segmenting the nuclei of white blood cells based on Gram Schmidt orthogonalization & Sparse Representation for white blood cells classification. The differential counting of white blood cells reveals invaluable information to hematologist. These informations are very useful to hematologist for diagnosis and treatment of many diseases. The nucleus of white blood cells has the most information about type of white blood cells, thus an accurate segmentation of white blood cell's nucleus seems to be helpful for other stages of automatic recognition of white blood cells. The system will focus on features of white blood cells to detect, Leukemia disease.The system will use features of microscopic images & examine changes on texture, geometry, color, statistical. Changes in these features will be used as a classifier input. 56 pp. Englisch. N° de réf. du vendeur 9786202814829
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Classification and automatic segmentation for Detection Leukemia : segmenting the nuclei of white blood cells based on Gram Schmidt orthogonalization and sparse representations for ivh
Edité par
LAP LAMBERT Academic Publishing, 2020
ISBN 10 : 6202814829
ISBN 13 : 9786202814829
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The proposed work is to present a methodology for segmenting the nuclei of white blood cells based on Gram Schmidt orthogonalization & Sparse Representation for white blood cells classification. The differential counting of white blood cells reveals invaluable information to hematologist. These informations are very useful to hematologist for diagnosis and treatment of many diseases. The nucleus of white blood cells has the most information about type of white blood cells, thus an accurate segmentation of white blood cell's nucleus seems to be helpful for other stages of automatic recognition of white blood cells. The system will focus on features of white blood cells to detect, Leukemia disease.The system will use features of microscopic images & examine changes on texture, geometry, color, statistical. Changes in these features will be used as a classifier input. N° de réf. du vendeur 9786202814829
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