Medical manikins help health care workers learn how to handle fast-changing and complex scenarios. Medical manikins help health care workers learn how to handle fast-changing and complex scenarios.

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, and RandLA-Net— on a Flash Lidar dataset. The ...

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

Abstract: Semantic segmentation is essential in medical image analysis. In this paper, we propose a lightweight vision transformer-based semantic segmentation method for medical images. The proposed ...

Scientists have created an AI tool that could help doctors identify diseases quickly and accurately using only a small number of medical images. Credit: Victoria Kotlyarchuk/iStock A new artificial ...

Abstract: Semi-supervised learning has proven highly effective in tackling the challenge of limited labeled training data in medical image segmentation. In general, current approaches, which rely on ...