Turn photos into 3D with Meta's SAM 3D, using SAM 2 masks and Gaussian splatting, so you can build assets quickly for ...

The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...

The system enables pixel-level alignment between shape and spectral data, allowing detailed visualization of traits like ...

Realsee announced the official opening of Realsee3D, a dataset of 10,000 indoor 3D scenes, for academic research and ...

A study has found that the way medical images are prepared before analysis can have a significant impact on the performance of deep learning models.

Abstract: The Transformer architecture has demonstrated remarkable results in 3D medical image segmentation due to its capability of modeling global relationships. However, it poses a significant ...

Alongside the model, a high-quality benchmark dataset covering 101 pest and disease classes has been publicly released. Together, they offer a ...

FLAMeS, a new convolutional neural network, enhances MS lesion segmentation accuracy using only T2-weighted FLAIR images, ...

A research team has now developed a new few-shot semantic segmentation framework, SegPPD-FS, capable of identifying infected regions from only one or a few labeled samples.

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 large study shows that routine H&E pathology slides contain rich spatial proteomic signals that can be decoded by AI to ...

Dragonfly 3D World 2025, a major software upgrade that redefines how scientists and engineers explore, analyze, and quantify ...