Abstract: Scarce annotations and cross-domain discrepancies critically limit remote sensing image classification. This study develops a ResNet50-based progressive transfer learning framework to ...
Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
Mass General Brigham researchers are betting that the next big leap in brain medicine will come from teaching artificial ...
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Deep learning detects foodborne bacteria within three hours by eliminating debris misclassifications
Researchers have significantly enhanced an artificial intelligence tool used to rapidly detect bacterial contamination in ...
Engineers at the University of California San Diego have developed a new way to train artificial intelligence systems to ...
Abstract: This paper presents a deep learning approach for the classification of brain tumors using MRI images, leveraging the Xception architecture for efficient and accurate detection. The dataset ...
Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...
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