الفهرس 
abstractOnly 14 pages are availabe for public view
 |  | from | 87 |  |  |
| | | from | 87 | | |
Abstract
Standard morphology diagnosis of leukemia is microscopically done by examining patient peripheral blood and bone marrow. The manual recognition is prone to errors such as experience and tiredness. Therefore, many computer-aided systems are proposed to detect the leukemia by analyzing the microscope images using a pre-trained deep convolutional neural network which is approach of machine learning algorithms. This study aims to test different convolutional neural network models used in detecting the leukemia; in terms of accuracy to detect leukemia among a group of images.