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Segmentation of Speroid Cancer Cells

Getting started

data_utils.py: for most data processing works;

Unet_training.py: builds up the model and trains it;

Unet_evaluation.py: runs tests and visualize the evaluation results in different forms;

cell_analysis.py: for analysis of the segmented masks;

analysis_utils.py: implements extracting various morphological features

Results

Samples from Test set:

  • Overlay predicted masks with raw images: C3 C10

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Spheroid cell colony segmentation

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