Improved Classification Approach to Detect Diseases in Human Blood - Harbi, Jamila;Ali, Rana
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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).

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Produktbeschreibung
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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Autorenporträt
Dr Jamila Harbi S. , born on April 1966, obtainedPost graduation from Al-Mustansiriyah University and Ph.D fromBaghdad University. She has been with Al-Mustansiriyah University for the past 27 years. ProfJamila Harbi S is presently the Principal of computer science department. She has published 35papers in an image processing techniques.