A. De Filippo

Deep Learning-Based Malaria Parasite Image Classification on Real Microscopy Data

The findings demonstrate that convolutional, transformer-based, and hybrid deep learning architectures can be successfully trained on real microscopy data for species-level malaria diagnosis and support the feasibility of deploying scalable, automated diagnostic systems to improve both accuracy and accessibility of mal...