segmentation models
PulseAugur coverage of segmentation models — every cluster mentioning segmentation models across labs, papers, and developer communities, ranked by signal.
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New method reconstructs articulated objects from static images
Researchers have developed a new method for reconstructing articulated objects from a single, static observation, overcoming the limitation of previous techniques that required explicit motion data. This framework utili…
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New technique improves AI model calibration for medical imaging
Researchers have developed a new method called "gradient vector field surgery" to address calibration issues in segmentation models, particularly those used in medical imaging. These models, often trained with region-ba…
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Study questions strict label quality for pre-training medical AI models
A new study published on arXiv investigates the impact of label quality on large-scale medical datasets for training segmentation models. The research found that while high-quality labels are crucial for models directly…
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CALHippo uses ML to map 3D brain cell structures
Researchers have developed CALHippo, a novel system for mapping neurons and glial cells in the human brain's hippocampus in 3D. The system utilizes state-of-the-art segmentation networks, like CellPoseSAM, to identify a…