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 ...
GitHub

Flash LiDAR Vehicle Detection with MATLAB Dataset and Deep Learning Benchmarks

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...
Frontiers

Universal medical image segmentation via in-context cross-attention

Semantic segmentation is critical in medical image processing, with traditional specialist models facing adaptation challenges to new tasks or distribution shifts. While both generalist pre-trained ...
SiliconANGLE

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

Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...
Scientific Research Publishing

Gamarra, M., Zurek, E., Escalante, H.J., Hurtado, L. and San-Juan-Vergara, H. (2019) Split and Merge Watershed: A Two-Step Method for Cell Segmentation in Fluorescence ...

ABSTRACT: Spatial transcriptomics is undergoing rapid advancements and iterations. It is a beneficial tool to significantly enhance our understanding of tissue organization and relationships between ...
Frontiers

An automatic laryngoscopic image segmentation system based on SAM prompt engineering: from glottis annotation to vocal fold segmentation

Introduction: Laryngeal high-speed video (HSV) is a widely used technique for diagnosing laryngeal diseases. Among various analytical approaches, segmentation of glottis regions has proven effective ...
IEEE

MSAF-UNet: A Robust Segmentation Method Integrating Traditional Image Processing and Multi-Scale Attention Fusion

Abstract: Accurate segmentation of Whole Slide Image (WSI) remains a significant challenge in medical image analysis. Current methods often struggle with effective feature extraction and precise ...