Abstract: In clinical applications, accurate segmentation of lesions or organs is crucial to the subsequent disease diagnosis. Due to the expensive and labor-intensive nature of annotations, ...

The work addresses a gap in biometric testing, as NIST’s IREX has focused primarily on closed-source commercial iris ...

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image ...

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 ...

Abstract: Segment Anything Model (SAM) is a foundational image segmentation model, which shows superior performance for natural image segmentation tasks. Several SAM-based medical image segmentations ...

The Tapenade pipeline enables single-cell, whole-mount 3D quantification in dense multilayer organoids, linking spatial gene co-expression and nuclear deformation to emerging tissue-scale organization ...

Researchers in Birmingham have created the first image of a photon, a lemon-shaped particle of light emitted from the surface of a nanoparticle. The theory that made this image possible, reported Nov.

This project demonstrates how to perform image segmentation using pre-trained DeepLabV3 models with ResNet backbones. The script uses PyTorch and OpenCV for processing and visualizing images. The ...