Tag: image segmentation

Researchers in China have developed NERA-Net, a framework that prevents the early loss of spatial details in few-shot semantic segmentation ...

Researchers have unveiled SIMworks, an integrated Fiji-based software suite that streamlines quality control, artifact correction and quantitative analysis for structured ...

Researchers have developed a U-Net-based segmentation network that recovers high-frequency image details lost during downsampling, achieving record accuracy in segmenting ...

Researchers at Xi'an University of Technology combined the Cellpose deep learning segmentation algorithm with ImageJ image analysis to rapidly and ...

A new explainable deep learning framework segments marine biofouling at the pixel level, improving underwater inspection accuracy and structural health ...

A new special issue in Medical & Biological Engineering & Computing showcases how deep learning is transforming ultrasound image segmentation, ...

Researchers have developed leakage-aware U-Net models that automatically segment solar filaments in ground-based hydrogen-alpha images, offering a scalable path toward ...

A new AI framework called the Content-Decoupled Schrödinger Bridge translates fast light-microscopy images into electron-microscopy-like detail, accelerating key stages of ...

Researchers in India have combined fuzzy logic edge detection with the KAZE feature detector to automatically identify breast masses and ...

Researchers have developed an interpretable hierarchical pipeline combining Gaussian filtering, YCbCr-based CLAHE enhancement, K-means nuclei segmentation, and SVM classification that ...