Tech Xplore

New training method helps AI models handle messy, varied medical image data

Hospitals do not always have the opportunity to collect data in tidy, uniform batches. A clinic may have a handful of ...

Meta’s new image segmentation models can identify objects and people and reconstruct them in 3D

Meta's new image segmentation models can identify objects and people and reconstruct them in 3D - SiliconANGLE ...
IEEE

Show and Segment: Universal Medical Image Segmentation via In-Context Learning

Abstract: Medical image segmentation remains challenging due to the vast diversity of anatomical structures, imaging modalities, and segmentation tasks. While deep learning has made significant ...
The Manila Times

Minkang Zhang Enhances Microscopic Image Analysis Through Deep Learning and Intelligent AFM Processing

An intelligent AFM processing framework integrates optimized scanning trajectories, distortion correction, and deep learning segmentation to improve imaging stability, accuracy, and automation. By ...
Tech Xplore

Wireless image transmission technique filters redundant data intuitively—just like a human

A new AI-driven technology developed by researchers at UNIST promises to significantly reduce data transmission loads during image transfer, paving the way for advancements in autonomous vehicles, ...
IEEE

Multi-Modality Uncertainty for Medical Image Segmentation

It has been widely accepted that complementary information introduced from an auxiliary modality is beneficial in medical imaging, and multi-modality segmentation often has better performance than ...