Outreach
Blog post on ICON abstraction decisions in progress (Will include itkTransform ideas, will be presented to group on wednesday)
ATLAS ICON
new training tends to overfit
Better train loss than ICON, worse test loss
evals to lowres DICS of [52]
Switch to all 22000 images
Improves test loss
evals to lowres DICE of 54.7
ICON achieved 57 at low resolution
however, alignment is visually better?
currently training high resolution second layer just to see if it works,
getting DICE 55
non-ATLAS ICON gets DICE 67 when used in atlas approach
New approach to patchwise registration
ToDO for next week
Train starting from ICON weights
augment data
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