A web app that uses a custom-built Keras model to recognize and classify white blood cells from microscopic images. It can distinguish between different types of WBCs and identify artifacts and bursted cells. I created this app as a way to explore image recognition technologies and to learn how to develop Keras models from scratch.

System for the automated classification of white blood cells (leukocytes)

Package for automating leukocyte microscopy implemented in Python with used PyTorch deep learning framework.

Predicting diseases via leukocyte classification

Leukocytes (WBCs) subtypes classification from blood smear images using Vision Transformers from Hugging Face and DenseNet artificial neural network from MONAI.