Deep CNN frameworks comparison for malaria diagnosis

no code implementations • 6 Sep 2019 • Priyadarshini Adyasha Pattanaik, Zelong Wang, Patrick Horain

We compare Deep Convolutional Neural Networks (DCNN) frameworks, namely AlexNet and VGGNet, for the classification of healthy and malaria-infected cells in large, grayscale, low quality and low resolution microscopic images, in the case only a small training set is available.

Classification General Classification