GitHub / fenicXs / Sickle-Cell-anemia-detection

This repository contains code for a convolutional neural network (CNN) model trained to detect sickle cell anemia in blood cell images. The model achieves 78% accuracy on test images, aiding in early diagnosis and management of this hereditary blood disorder.

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Topics: cnn-classification, keras-classification-models, matplotlib-pyplot, numpy, pandas, python, sequential-models, tensorflow

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