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Found 6 papers, 1 papers with code
YOLO-Angio: An Algorithm for Coronary Anatomy Segmentation
Coronary angiography remains the gold standard for diagnosis of coronary artery disease, the most common cause of death worldwide.
Ranked #2 on
Coronary Artery Segmentation
on ARCADE
StenUNet: Automatic Stenosis Detection from X-ray Coronary Angiography
Coronary angiography continues to serve as the primary method for diagnosing coronary artery disease (CAD), which is the leading global cause of mortality.
Ranked #2 on
Stenosis Segmentation
on ARCADE
Medical Image Deidentification, Cleaning and Compression Using Pylogik
This methodology de-identifies the images, reduces file sizes, and prepares image volumes for applications in deep learning and data sharing.
Machine Learning Capability: A standardized metric using case difficulty with applications to individualized deployment of supervised machine learning
MLC provides a metric on the limitation of supervised machine learning algorithms.
IRTCI: Item Response Theory for Categorical Imputation
Results demonstrated that the new method, Item Response Theory for Categorical Imputation (IRTCI), fared quite well compared to currently used methods, outperforming several of them in many conditions.
Multimodal Machine Learning in Precision Health
Attempts to improve prediction and resemble the multimodal nature of clinical expert decision-making this has been met in the computational field of machine learning by a fusion of disparate data.
