Hologram processing method boosts 3D image depth of focus fivefold

Researchers from the University of Tartu Institute of Physics have developed a novel method for enhancing the quality of three-dimensional images by increasing the depth of focus in holograms fivefold ...

Silicon metasurfaces boost optical image processing with passive intensity-based filtering

Of the many feats achieved by artificial intelligence (AI), the ability to process images quickly and accurately has had an ...
EurekAlert!

InstaDrive: Street view generation based on the unified instance segmentation input of vehicles and map elements

InstaDrive, proposed by SJTU researchers, addresses autonomous driving’s tedious annotation and long-tail data issues. It ...
IEEE

From Segmentation to Disease Prediction: A Systematic Review of AI Methods for Adipose Tissue Analysis in Medical Imaging

Abstract: Accurate segmentation and classification of adipose tissue are critical tasks in the field of medical imaging, as they contribute to enhanced medical diagnostics. However, manual ...
IEEE

U-RWKV: Accurate and Efficient Volumetric Medical Image Segmentation via RWKV

Abstract: Accurate and efficient volumetric medical image segmentation is vital for clinical diagnosis, pre-operative planning, and disease-progression monitoring. Conventional convolutional neural ...
GitHub

sunny123253/A-two-dimensional-pore-throat-extraction-method-for-porous-media-based-on-the-watershed-algorithm

This project implements a 2D pore-throat network extraction algorithm for porous media images. It uses a modified watershed segmentation approach based on Distance Transform and H-maxima markers to ...