AZoM on MSN

Imaging silicon defects using Raman and PL multivariate imaging

PCA and K-means clustering applied to Raman and PL imaging reveal structural defects in silicon wafers, enhancing ...
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 ...
ZDNet

You can now try Microsoft's new in-house AI image generator model - here's how

I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen Best laptop cooling pads Best flip ...
IEEE

Toward Reliable Medical Image Segmentation by Modeling Evidential Calibrated Uncertainty

Abstract: Medical image segmentation is critical for disease diagnosis and treatment assessment. However, concerns regarding the reliability of segmentation regions persist among clinicians, mainly ...
EurekAlert!

Boundary-aware semi-supervised segmentation boosts 3D medical image accuracy

A research team led by Prof. WANG Huanqin at the Institute of Intelligent Machines, the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, recently proposed a semi-supervised ...
News Medical

New AI model performs medical image segmentation with far less data

A new artificial intelligence (AI) tool could make it much easier-and cheaper-for doctors and researchers to train medical imaging software, even when only a small number of patient scans are ...
marktechpost

GenSeg: Generative AI Transforms Medical Image Segmentation in Ultra Low-Data Regimes

Medical image segmentation is at the heart of modern healthcare AI, enabling crucial tasks such as disease detection, progression monitoring, and personalized treatment planning. In disciplines like ...
IEEE

Panel Segmentation: A Python Package for Automated Solar Array Metadata Extraction using Satellite Imagery

Abstract: The NREL Python Panel-Segmentation package is a toolkit that automates the process of extracting accurate and valuable metadata related to solar array installations, using publicly available ...
Frontiers

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

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 in evaluating ...
GitHub

sahiltarlana/IMAGE_MCP_SERVER

imageops-mcp-server is a FastMCP-based Python server designed for advanced image processing tasks. It provides a suite of tools for fetching, manipulating, and analyzing images from URLs or local file ...
GitHub

RSRefSeg 2: Decoupling Referring Remote Sensing Image Segmentation with Foundation Models

This repository is the official implementation of the paper RSRefSeg 2: Decoupling Referring Remote Sensing Image Segmentation with Foundation Models, developed based on the OpenMMLab codebase. The ...