This article discusses the use of machine learning methods in optical imaging techniques, highlighting their potential for better performance over conventional methods. It also…
Browsing: Vision Transformer
A new transformer-based classification framework, utilizing the vision transformer (ViT) model, has been developed to accurately detect malignant cells in serous cavity effusions. This…
This article presents a methodology for the classification of bladder cancer using Vision Transformer (ViT) models. The dataset used for this research is a…
This article highlights the top 8 contributions to Machine Learning (ML) from the Indian community. Contributions include a fully-convolutional network using a VGG-16 backend…
Landing AI, a leading computer vision cloud company, has announced that it is using the new NVIDIA Metropolis for Factories platform to deliver its…
This study evaluated the use of limited-lead rapid-response EEG and supervised deep learning methods with vision transformer to predict delirium in critically ill older…
This report highlights the research on new infrastructures for autonomous driving algorithms and computing power: AI foundation models and intelligent computing centers. AI foundation…