Physics World

Hybrid deep-learning model eases brachytherapy planning

The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...
Open Heart

Development and validation of a deep learning model for severe mitral stenosis detection from chest X-rays

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...
Ulster University

Development of Change Transformer—Attentive Deep-Learning Approaches for Abnormal Change Detection

Deep learning has been playing increasingly important roles in intelligence systems for our daily lives, such as computer vision, autonomous car driving, earth observation, etc. Deep learning is ...
Risk

Trading with the momentum transformer: an interpretable deep learning architecture

Kieran Wood, Sven Giegerich, Stephen Roberts and Stefan Zohren introduce the ‘momentum transformer’, an attention-based deep-learning architecture that outperforms benchmark time series momentum and ...
Hosted on MSN

Transformers In Deep Learning — A Beginner’S Guide That Actually Makes Sense

We dive into Transformers in Deep Learning, a revolutionary architecture that powers today's cutting-edge models like GPT and BERT. We’ll break down the core concepts behind attention mechanisms, self ...

AI model helps diagnose often undetected heart disease from simple EKG

Doctors may soon be able to diagnose an elusive form of heart disease within seconds by using an AI model developed at ...
eTeknix

NVIDIA Transformer Model Brings Advanced DLSS 4 Features to All RTX GPUs

NVIDIA continues to push the boundaries of gaming graphics with its DLSS (Deep Learning Super Sampling) technology, which leverages artificial intelligence to enhance image resolution. Now, with the ...