GitHub / mdhabibi / Cell-Semantic-Segmentation-with-UNet

A machine learning solution for automating nucleus detection in biomedical images, leveraging the U-Net architecture to accelerate medical research and disease treatment discovery.

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Commits: 37
Authors: 2
Mean commits per author: 18.5
Development Distribution Score: 0.378
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Topics: cell, computer-vision, deep-learning, image-processing, keras-tuner, machine-learning, nucleus, semantic-segmentation, tensorflow, unet-image-segmentation

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