Tripo3D is an AI-powered platform focused on simplifying 3D creation through automated model generation and editing workflows ...

AI-powered 3D generation has made creating digital models easier than ever. But for makers, collectible figure creators, prop ...

The actuarial methodology powering insurance risk models is advancing faster than most carriers realize. Here is what is ...

AI-Enhanced Problem-Based Learning in Pathology Technology: An OBE-Driven Triadic Model of Clinical Problem, AI Validation, ...

Aim To implement a deep learning-based segmentation algorithm to quantify reticular pseudodrusen (RPD) and drusen volumes on optical coherence tomography (OCT) and investigate their association with ...

Models built on fixed demographic inputs are increasingly misaligned with how consumers behave across different moments. To ...

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

Abstract: Weakly-Supervised Semantic Segmentation (WSSS) aims to train segmentation models by weak labels, which is receiving significant attention due to its low annotation cost. Existing approaches ...

In the rapidly evolving field of artificial intelligence, foundation models have emerged as game-changers, particularly in computer vision tasks like image segmentation. These large-scale, pre-trained ...

This repository contains the code implementation for the paper RSRefSeg: Referring Remote Sensing Image Segmentation with Foundation Models, developed based on the MMSegmentation project. The current ...

Brain tumor segmentation plays a crucial role in clinical diagnostics and treatment planning, yet accurate and efficient segmentation remains a significant challenge due to complex tumor structures ...