Define and visualize occupancy statistic metrics #30
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…le names on heatmap
… into occupancy_stats
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What is the purpose of this PR?
Addresses first section of #27. Investigate the nature of occupancy statistics on the TNBC cohort.
How did you implement your changes
The first and most simple method to try is to define a grid of tiles on each image, then compute the number of cell counts in each. A cell is determined to fall within a tile if its centroid lies within its boundaries. Then, define a tile as positive if it falls above a certain threshold.
Perform grid search over number of tiles and positive threshold to see which one hits the sweet spot.
Remaining issues
If raw counts fail, then investigate distribution-related metrics such as entropy.