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Pre segmentation label suggestions? #81

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rmdocherty opened this issue Aug 15, 2023 · 1 comment
Open

Pre segmentation label suggestions? #81

rmdocherty opened this issue Aug 15, 2023 · 1 comment
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@rmdocherty
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backend Flask backend/HTTP responses enhancement New feature or request investigation Tasks that need exploration/research
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SAMBA1.5

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@rmdocherty
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Compute some sort of k-means with estimated n_phases (or user supplied), pick outliers from that (or not outliers) and ask user to label them before any segmentation takes place. Related to #80
@rmdocherty rmdocherty added enhancement New feature or request backend Flask backend/HTTP responses labels Aug 15, 2023
@rmdocherty rmdocherty added this to the SAMBA1.5 milestone Aug 15, 2023
@rmdocherty rmdocherty self-assigned this Aug 15, 2023
@rmdocherty
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Maybe just compute intensity distribution, split into N(=6) chunks and ask user to label around the median pixel of each bin. Logic here is that usually intensity distribution reflects classes and there aren't more than 6 classes anyway. Also, N doesn't need to have any link to the actual N_phases because all we're asking the user to label them anyway. Can do this after the featurisation step for each image?

@rmdocherty rmdocherty added the investigation Tasks that need exploration/research label Nov 15, 2023
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