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...
Computed Tomography (CT) scans provide detailed and accurate information...
Whole-Slide Imaging allows for the capturing and digitization of
high-re...
Accurate and automatic segmentation of fibroglandular tissue in breast M...
As large language models (LLMs) like OpenAI's GPT series continue to mak...
Artificial intelligence (AI) models are increasingly used in the medical...
Background: Deep learning (DL) can extract predictive and prognostic
bio...
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...
Generative models such as DALL-E 2 could represent a promising future to...
Osteoarthritis (OA) is the most common joint disorder affecting substant...
Unmasking the decision-making process of machine learning models is esse...
Generative adversarial networks using a cycle-consistency loss facilitat...
Identifying image features that are robust with respect to segmentation
...
Classification of malignancy for breast cancer and other cancer types is...