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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Destinos, gastos y plazos de envíoLibrería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9786202814829
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9786202814829
Cantidad disponible: 1 disponibles
Librería: moluna, Greven, Alemania
Condición: New. Nº de ref. del artículo: 493801916
Cantidad disponible: Más de 20 disponibles
Librería: Majestic Books, Hounslow, Reino Unido
Condición: New. Print on Demand. Nº de ref. del artículo: 400579484
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Librería: Books Puddle, New York, NY, Estados Unidos de America
Condición: New. Nº de ref. del artículo: 26395830339
Cantidad disponible: 4 disponibles
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9786202814829
Cantidad disponible: 2 disponibles
Librería: Biblios, Frankfurt am main, HESSE, Alemania
Condición: New. PRINT ON DEMAND. Nº de ref. del artículo: 18395830345
Cantidad disponible: 4 disponibles