IEEE

SliceMamba With Neural Architecture Search for Medical Image Segmentation

Abstract: Despite the progress made in Mamba-based medical image segmentation models, existing methods utilizing unidirectional or multi-directional feature scanning mechanisms struggle to effectively ...
Phys.org

New image sensor breaks optical limits

Imaging technology has transformed how we observe the universe—from mapping distant galaxies with radio telescope arrays to unlocking microscopic details inside living cells. Yet despite decades of ...
Fast Company

Market segmentation, AI and everything in between

When it comes to market segmentation, I don’t see truly well-documented cases often. At a more simplistic level, we think of classic matrices such as BCG or McKinsey’s. But the real exercise of ...
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 ...
Frontiers

Multi-interactive feature embedding learning for medical image segmentation

1 School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China 2 School of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, ...
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 ...
GitHub

Sequence of pyrUp( ) causes Seg Fault or Program Crash due to Memory Overflow from Unbounded Image Expansion

invalid question (invalid tracker)ask questions and other "no action" items here: https://forum.opencv.orgask questions and other "no action" items here: https://forum.opencv.org As I was testing the ...
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 ...
Mashable

Create anything you can imagine (including NSFW content) with this $40 AI image generator

The following content is brought to you by Mashable partners. If you buy a product featured here, we may earn an affiliate commission or other compensation. TL;DR: Secure a lifetime subscription to ...
IEEE

Optimization and Benchmarking of Image Segmentation for Improved Landmark Detection in Lower Limb X-Rays and Accurate Coronal Plane Alignment of the Knee Classification

Abstract: Recent studies have explored image segmentation for landmark detection in computer vision and medical imaging of the lower limb, showing promising results. However, the proposed ...