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Found 5 papers, 1 papers with code
Novel adaptation of video segmentation to 3D MRI: efficient zero-shot knee segmentation with SAM2
Intelligent medical image segmentation methods are rapidly evolving and being increasingly applied, yet they face the challenge of domain transfer, where algorithm performance degrades due to different data distributions between source and target domains.
A Geometric Flow Approach for Segmentation of Images with Inhomongeneous Intensity and Missing Boundaries
For instance, Magnetic Resonance (MR) muscle images often contain both of these issues, making muscle segmentation especially difficult.
Self-supervised Deep Unrolled Reconstruction Using Regularization by Denoising
Experiment results demonstrate that the proposed method requires a reduced amount of training data to achieve high reconstruction quality among the state-of-art of MR reconstruction utilizing the Noise2Noise method.
The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset
Purpose: To organize a knee MRI segmentation challenge for characterizing the semantic and clinical efficacy of automatic segmentation methods relevant for monitoring osteoarthritis progression.
