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Integrated Monte Carlo and deep learning improve radiotherapy QA
Bridging speed and accuracy in radiation therapy QA Led by Professor Fu Jin, the study addresses a critical challenge in ...
Artificial Intelligence (AI) is revolutionizing the dynamics of technological advancement in the field of medical imaging, ...
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Detection of concealed explosives using terahertz spectral imaging and deep learning
Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...
Model predicts effect of mutations on sequences up to 1 million base pairs in length and is adept at tackling complex ...
Deep learning (DL) is a type of artificial intelligence (AI) that utilizes artificial neural networks (ANNs) to process data through two or more layers, each of which can recognize complex features of ...
Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...
Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting expertise.From neural networks to N ...
Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...
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