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System for the automated classification of white blood cells (leukocytes)
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.
TILs are specialized Lymphocytes cells that play an important role in cancer diagnosis and treatment. This repo is based on detectron2 implementation of MaskRCNN
Code repo for the Kaggle Challenge from the MVA class Deep Learning for Medical Imaging