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Fitting Segmentation Networks on Varying Image Resolutions using Splatting. (arXiv:2206.06445v2 [eess.IV] UPDATED)
Web: http://arxiv.org/abs/2206.06445
June 16, 2022, 1:13 a.m. | Mikael Brudfors, Yael Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardoso
cs.CV updates on arXiv.org arxiv.org
Data used in image segmentation are not always defined on the same grid. This
is particularly true for medical images, where the resolution, field-of-view
and orientation can differ across channels and subjects. Images and labels are
therefore commonly resampled onto the same grid, as a pre-processing step.
However, the resampling operation introduces partial volume effects and
blurring, thereby changing the effective resolution and reducing the contrast
between structures. In this paper we propose a splat layer, which automatically
handles resolution …
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