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Found 3 papers, 2 papers with code
CSAM: A 2.5D Cross-Slice Attention Module for Anisotropic Volumetric Medical Image Segmentation
Both 3D and purely 2D deep learning-based segmentation methods are deficient in dealing with such volumetric data since the performance of 3D methods suffers when confronting anisotropic data, and 2D methods disregard crucial volumetric information.
PartDiff: Image Super-resolution with Partial Diffusion Models
This observation inspired us to propose the Partial Diffusion Model (PartDiff), which diffuses the image to an intermediate latent state instead of pure random noise, where the intermediate latent state is approximated by the latent of diffusing the low-resolution image.
MAg: a simple learning-based patient-level aggregation method for detecting microsatellite instability from whole-slide images
Such algorithms can be summarized as (1) patch-level MSI/MSS prediction, and (2) patient-level aggregation.
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