Cell morphology based classification for red cells in blood smear images

Howard Lee, Yi-Ping Phoebe Chen

Abstract: Highlights•The proposed a hybrid neural network architecture for red cell classification.•The separation of overlapping cells have been attempted.•Utilized all visual features extracted from red cell images with new classifier.•Improvement in red cell normality classification result.•Capable of accurately distinguish different blood diseases.