FLAMeS, a new convolutional neural network, enhances MS lesion segmentation accuracy using only T2-weighted FLAIR images, ...
We retrospectively analyzed 1,080 nonactionable three-dimensional (3D) reconstructed DBT screening examinations acquired between 2011 and 2016. Reference tissue segmentations were generated using ...
Soon, researchers may be able to create movies of their favorite protein or virus better and faster than ever before. Researchers at the Department of Energy's SLAC National Accelerator Laboratory ...
A research team has developed a binocular multispectral stereo imaging (BMSI) system capable of capturing synchronized three-dimensional (3D) plant morphology and multispectral reflectance information ...
A research team has developed IPENS, an interactive and unsupervised 3D phenotyping tool that extracts grain-level point clouds without manual annotation, marking a major step forward in automated ...