An investigation of Recent Deep Learning Techniques Applied to Blood Cell Image Analysis
This project has investigated the performances of Capsule Networks in comparison to Convolutional Neural Networks (CNNs) on white blood cell image classification at CellaVision. The Capsule Network models that were investigated are EM Routing Capsule Networks (EMCNs) and Dynamic Routing Capsule Networks (DCNs). The models were compared with regards to convergence rate, speed, and accuracy performan
