A novel sectional deep learning framework with region normalization improves hepatocellular carcinoma detection and staging ...
Multimodal AI combining skin images and clinical data improved skin lesion classification, supporting further research into ...
Researchers use adversarial deep learning to reduce patient-specific bias in Raman spectroscopy while preserving 81% balanced accuracy in glioma IDH1 classification.
In traditional semiconductor packaging, manual defect review after automated optical inspection (AOI) is an arduous task for operators and engineers, involving review of both good and bad die. It is ...
Ganglberger and colleagues assessed a deep learning model’s ability to derive brain health scores from electroencephalography ...
In deep learning, a vast amount of training data is usually required. However, in practice, we often hit a wall where we cannot prepare such a large amount of data.This is where the technique called ...
A Hybrid Deep Learning Architecture for an Intelligent Library Search System with NLP - RiteshPawar05/Smart-Library-Chatbot ...
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