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One registration is worth two segmentations
The goal of image registration is to establish spatial correspondence between two or more images, traditionally through dense displacement fields (DDFs) or parametric transformations (e. g., rigid, affine, and splines).
A Survey of Emerging Applications of Diffusion Probabilistic Models in MRI
Diffusion probabilistic models (DPMs) which employ explicit likelihood characterization and a gradual sampling process to synthesize data, have gained increasing research interest.
Rethinking Few-Shot Medical Segmentation: A Vector Quantization View
The existing few-shot medical segmentation networks share the same practice that the more prototypes, the better performance.
RTNet: Relation Transformer Network for Diabetic Retinopathy Multi-lesion Segmentation
Automatic diabetic retinopathy (DR) lesions segmentation makes great sense of assisting ophthalmologists in diagnosis.
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