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Found 4 papers, 1 papers with code
Unleashing the Strengths of Unlabeled Data in Pan-cancer Abdominal Organ Quantification: the FLARE22 Challenge
The best-performing algorithms successfully generalized to holdout external validation sets, achieving a median DSC of 89. 5\%, 90. 9\%, and 88. 3\% on North American, European, and Asian cohorts, respectively.
Multi-Target Landmark Detection with Incomplete Images via Reinforcement Learning and Shape Prior
This is particularly evident for the learning-based multi-target landmark detection, where algorithms could be misleading to learn primarily the variation of background due to the varying FOV, failing the detection of targets.
A low-rank representation for unsupervised registration of medical images
These methods estimate the parameterized transformations between pairs of moving and fixed images through the optimization of the network parameters during training.
Learning-Based Algorithms for Vessel Tracking: A Review
On the basis of the reviewed methods, the evaluation issues are introduced.
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