9786202004046 - Improved Classification Approach to Detect Diseases in Human Blood de Harbi, Jamila; Ali, Rana (6 resultados)

Paperback. Condición: Brand New. 100 pages. 8.66x5.91x0.23 inches. In Stock.

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.

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.

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.

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.

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).