Diagnosing the Leukemia using Faster Region based Convolutional Neural Network

It is difficult to building deep learning algorithms for identifying chronic diseases. One of the must difficulties facing system diagnosing leukemia irregular shape and twisted nucleus in white blood cells (WBCs) without cleaning segmentation by Appling filters. Moreover, it challenge identify classify WBC at once time which considered essential step diagnosing. This paper proposed only based on algorithms. The modified Faster R-CNN (Faster Region based-Convolutional Neural Networks) algorithm used detect WBCs. achieved a high accuracy training database tacked directly from microscope [4].