New image sensor breaks optical limits

Imaging technology has transformed how we observe the universe—from mapping distant galaxies with radio telescope arrays to ...
Scientific Research Publishing

Study of Methods for Automatic Segmentation of Geological Profile Images Based on Diffusion Models ()

1 School of Science, Tianjin University of Technology and Education, Tianjin, China. 2 School of Big Data, Lvliang Vocational and Technical College, Lvliang, China. Early image segmentation was mainly ...
IEEE

Rethinking Propagation Methods for Interactive Medical Image Segmentation

Abstract: Propagation-based methods have drawn increasing research attention in interactive medical image segmentation. However, existing propagation-based methods face two significant challenges: 1) ...
IEEE

A Two-stage Method With Lightweight Network and Active Contour Model for Remote Sensing Image Segmentation

Abstract: Active contour models (ACMs) have shown effectiveness on remote sensing (RS) image segmentation tasks. However, this type of method still faces two important problems when segmenting RS ...
Frontiers

A transformation uncertainty and multi-scale contrastive learning-based semi-supervised segmentation method for oral cavity-derived cancer

Objectives: Oral cavity-derived cancer pathological images (OPI) are crucial for diagnosing oral squamous cell carcinoma (OSCC), but existing deep learning methods for OPI segmentation rely heavily on ...
Frontiers

A segmentation method for LiDAR point clouds of aerial slender targets

1 College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China 2 School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing, China LiDAR ...
Scientific Research Publishing

From Traditional Methods to 3D U-Net: A Comprehensive Review of Brain Tumour Segmentation Techniques ()

Accurate brain tumour segmentation is critical for diagnosis and treatment planning, yet challenging due to tumour complexity. Manual segmentation is time-consuming and variable, necessitating ...