Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and ...

More information: SiYeoul Lee et al, Enhancing Free-hand 3D Photoacoustic and Ultrasound Reconstruction using Deep Learning, IEEE Transactions on Medical Imaging (2025). DOI: 10.1109/TMI.2025.3579454 ...

It's worth noting that SSSR-FPP uses only a pair of low-resolution, pixelated fringe images and a trained deep learning network to recover high-resolution 3D coordinates in a single shot.

MoGLo-Net tracks the motion of the ultrasound transducer using tissue speckle data without the need for external sensors, creating a clear 3D ultrasound volume for accurate visualization of bodily ...

Thus, the growing demand for 3D IC has generated considerable attention on the importance of reliability analysis and failure prediction. This research conducts 3D X-ray tomographic images combining ...

Key highlights of the study include: Advanced imaging: The researchers utilized 3D imaging technology to capture detailed representations of the body's shape. Deep learning application: By ...

"Deep learning makes X-ray CT inspection of 3D-printed parts faster, more accurate." ScienceDaily. ScienceDaily, 14 October 2022. <www.sciencedaily.com / releases / 2022 / 10 / 221014135712.htm>.