3D-printed tumor models mimic human tissue to improve surgical imaging research by Ashlyn Grotegut, Texas Tech University ...

Viz.ai, the leader in AI-powered disease detection and intelligent care coordination, today announced the launch of Viz 3D CTA, a new solution that automatic ...

Early diagnosis, playing an important role in preventing progress and treating the Alzheimer's disease (AD), is based on classification of features extracted from brain images. The features have to ...

A recent study introduces an innovative method for analyzing body composition using advanced 3D imaging and deep learning techniques.

"Dynamic graph convolutional autoencoder with node-attribute-wise attention for kidney and tumor segmentation from CT volumes" UKnowledge-Based Systems (2022). [paper] Hyper Vision Net: Sabarinathan, ...

PET imaging is an important tool in clinical diagnostics, especially in oncology as it is able to visualize ongoing metabolic processes, e.g. caused by a tumor. Due to the low spatial resolution, a ...

Here's how GE Healthcare overcame challenges of 2D and created the industry’s first full-body 3D MRI research foundation model.

Sonic DL for 3D builds on GE HealthCare’s deep learning innovation legacy and the success of AIR Recon DL, which has helped over 34 million patients to date.

Researchers have developed a rapid 3D photoacoustic tomography (PAT) scanner for high-resolution vascular imaging, enabling fast and detailed visualization of the microvasculature.

Martínez-Murcia et al. (2020) used deep convolutional autoencoders to analyze AD data and performed regression and classification analysis to determine the impact of each coordinate of the autoencoder ...

According to Cha and colleagues, different spatial distributions, orientations, and magnitudes of flow were directly visualized within the three LA phantoms using 4D flow MRI.