Indentification Acute Myeloid Leukemia (AML M1 & M2)
Year Accomplished
2019
Role/Position
Full Stack Developer
- Develop front-end
- Develop algorithm of image processing and identification
Project Description
Application for the identification of blood cells of leukemia sufferers for AML M1 & M2 types

The focus of this application is on blood cell image processing starting from pre-processing, segmentation, to feature extraction. Then the naive bayes are used for identification. Comparison accuracy using imageJ & weka application.

The use of image processing to extract the characteristics of white blood cells is an alternative effort to diagnose AML based on the results of a complete blood count.