This book contains the improved system that assists the physician to evaluate Acute Lymphocytic Leukemia. We proposed Acute Lymphocytic Leukemia detection and classification (ALLDC) system for detecting and classifying ALL cells in ALL-IDB1 image datasets. To achieve this aim, our proposed ALLDC system classifies all cells as ALL and noncancerous cells using two classification techniques applied separately to classify the WBCs normal or blast cells: two classifiers are suggested in our work such as k-nearest neighbour (KNN) and Artificial Neural Networks (ANN).
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This book contains the improved system that assists the physician to evaluate Acute Lymphocytic Leukemia. We proposed Acute Lymphocytic Leukemia detection and classification (ALLDC) system for detecting and classifying ALL cells in ALL-IDB1 image datasets. To achieve this aim, our proposed ALLDC system classifies all cells as ALL and noncancerous cells using two classification techniques applied separately to classify the WBCs normal or blast cells: two classifiers are suggested in our work such as k-nearest neighbour (KNN) and Artificial Neural Networks (ANN).
Jamila Harbi Saud was born on 14th April 1966, in Irak. The general field is Physics. She is specialist in the field of Image Processing and Data compression. The author has interest for theoretical studies and its analysis, image processing, data compression, digital signal processing, Pattern Recognition and multimedia systems.
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book contains the improved system that assists the physician to evaluate Acute Lymphocytic Leukemia. We proposed Acute Lymphocytic Leukemia detection and classification (ALLDC) system for detecting and classifying ALL cells in ALL-IDB1 image datasets. To achieve this aim, our proposed ALLDC system classifies all cells as ALL and noncancerous cells using two classification techniques applied separately to classify the WBCs normal or blast cells: two classifiers are suggested in our work such as k-nearest neighbour (KNN) and Artificial Neural Networks (ANN). 100 pp. Englisch. Nº de ref. del artículo: 9786202004046
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Librería: moluna, Greven, Alemania
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Harbi JamilaJamila Harbi Saud was born on 14th April 1966, in Irak. The general field is Physics. She is specialist in the field of Image Processing and Data compression. The author has interest for theoretical studies and its analys. Nº de ref. del artículo: 158799829
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Librería: Revaluation Books, Exeter, Reino Unido
Paperback. Condición: Brand New. 100 pages. 8.66x5.91x0.23 inches. In Stock. Nº de ref. del artículo: zk6202004045
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book contains the improved system that assists the physician to evaluate Acute Lymphocytic Leukemia. We proposed Acute Lymphocytic Leukemia detection and classification (ALLDC) system for detecting and classifying ALL cells in ALL-IDB1 image datasets. To achieve this aim, our proposed ALLDC system classifies all cells as ALL and noncancerous cells using two classification techniques applied separately to classify the WBCs normal or blast cells: two classifiers are suggested in our work such as k-nearest neighbour (KNN) and Artificial Neural Networks (ANN).VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 100 pp. Englisch. Nº de ref. del artículo: 9786202004046
Cantidad disponible: 1 disponibles
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book contains the improved system that assists the physician to evaluate Acute Lymphocytic Leukemia. We proposed Acute Lymphocytic Leukemia detection and classification (ALLDC) system for detecting and classifying ALL cells in ALL-IDB1 image datasets. To achieve this aim, our proposed ALLDC system classifies all cells as ALL and noncancerous cells using two classification techniques applied separately to classify the WBCs normal or blast cells: two classifiers are suggested in our work such as k-nearest neighbour (KNN) and Artificial Neural Networks (ANN). Nº de ref. del artículo: 9786202004046
Cantidad disponible: 1 disponibles
Librería: preigu, Osnabrück, Alemania
Taschenbuch. Condición: Neu. Improved Classification Approach to Detect Diseases in Human Blood | Jamila Harbi (u. a.) | Taschenbuch | 100 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9786202004046 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Nº de ref. del artículo: 109563503
Cantidad disponible: 5 disponibles