Background Endovascular thrombectomy (EVT) is the standard of care for large vessel occlusion stroke, yet technical failure persists in a significant minority of cases. Intracranial atherosclerotic ...
This project uses UV for dependency management. Krippendorff's alpha is more meaningful for larger data samples, however low agreement can still be a sign of labeling issue. The code requires at least ...
dDepartment of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China eDivision of Neurology, Department of Medicine and Therapeutics ...
Deep learning has significantly advanced text-to-speech (TTS) systems. These neural network-based systems have enhanced speech synthesis quality and are increasingly vital in applications like ...
Development of an Electronic Health Record–Based Algorithm for Predicting Lung Cancer Screening Eligibility in the Population-Based Research to Optimize the Screening Process Lung Research Consortium ...
In this study, we investigate whether a Convolutional Neural Network (CNN) can generate informative parametric maps from the pre-processed CT perfusion data in patients with acute ischemic stroke in a ...
this is a library of machine learning algorithms implemented in python + numpy. this is an ongoing (self-) educational project, and focuses on well-commented, understandable code over efficiency.
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