IEEE

A Recent Survey of Vision Transformers for Medical Image Segmentation

Abstract: Medical image segmentation plays a crucial role in various healthcare applications, enabling accurate diagnosis, treatment planning, and disease monitoring. Convolutional Neural Networks ...
ZDNet

I use these 10 secret Netflix codes to find hidden movies - here's how to enter them

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 ...
Law

Why Segmentation and Client Profiles Matter for Organizational Design

While part one established the strategic value of defining target client profiles and building a thoughtful client segmentation model, the real transformation begins when firms put those insights into ...
GitHub

MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot Learning (ICCV2025)

This software is a research prototype, solely developed for and published as part of the publication MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot ...