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.

White Blood Cells Classification Using Transfer Learning Technique

LEUKOCOUNT aids in automating the process of detection of blood-based diseases.

Uses deep learning to classify types of white blood cells in cell images from blood smear slides to aid in AML diagnosis.

Detect White Blood Cells using Faster RCNN

White Blood Cell Detection and Classification Dataset

University Image-Processing Project and Report using MatLab to filter, optimize and perform image-recognition on red blood cells, white blood cells, and bacteria for use in medical imaging.