A fake VS Code extension posing as a Moltbot AI assistant installed ScreenConnect malware, giving attackers persistent remote ...
I trained nnU-Net v2 (2D configuration) on a dataset of cerebral DSA images for automatic segmentation of non-perfused brain tissue. I performed a 5-fold cross-validation using the default nnU-Net ...
Abstract: Objective: Speech, as the core of advanced human cognition, is fundamental to social interaction and daily life. Electroencephalogram (EEG)-based speech brain-computer interface (BCI) offers ...
Gabriel has been playing games since he was a kid. Loves most RPG games, platformers, and innovative indie games, and can talk for hours about how the first Fallout is the greatest game ever. He ...
Objectives: This study aims to investigate the efficacy of unsupervised machine learning algorithms, specifically the Gaussian Mixture Model (GMM), K-means clustering, and Otsu automatic threshold ...
Has anyone compared nnU-Net trained as a single model on 100% of the training data vs. the default 5-fold CV ensemble (5×80%)? I wonder how much accuracy is actually lost or gained, given the big ...
Early prediction of acute respiratory distress syndrome (ARDS) after liver transplantation (LT) facilitates timely intervention. We aimed to develop a predictor of post-LT ARDS using machine learning ...
Abstract: Leukocoria, which is distinguished by an unusual white reflection in the pupil, is an important sign of several eye conditions. Early detection and correct alleviation of leukocoria are ...
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