The diagnosis of blood-related diseases involves the identification and characterization of a patient's blood sample.
Combined the convolutional neural network(CNN) and recursive neural network (RNN) in order to propose the CNN_RNN
framework that can deepen the understanding of image content and learn the structured features of images and to begin end toend training of big data in medical image analysis