A knowledge gap persists between Machine Learning (ML) developers (e.g.,...
Pre-training datasets, like ImageNet, have become the gold standard in
m...
Developing robust and effective artificial intelligence (AI) models in
m...
Accurate and automatic segmentation of fibroglandular tissue in breast M...
Artificial intelligence (AI) models are increasingly used in the medical...
Multimodal deep learning has been used to predict clinical endpoints and...
The success of Deep Learning applications critically depends on the qual...
Artificial intelligence (AI) methods are revolutionizing medical image
a...
Recent advances in computer vision have shown promising results in image...
Twitter sentiment analysis, which often focuses on predicting the polari...
During the strip rolling process, a considerable amount of the forces of...
Splines are one of the main methods of mathematically representing
compl...
The increasing amount of available data and more affordable hardware
sol...