AI system for rapid annotation of medical images could accelerate clinical research

Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical ...
eLife

Multiple event segmentation mechanisms in the human brain

The human brain segments continuous experience into discrete events, with theoretical accounts proposing two distinct mechanisms: creating boundaries at points of high p ...
Investopedia

Quick Response (QR) Code: What They Are, How They Work, and Types

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
GitHub

Interactive MATLAB GUI for real-time rock segmentation using VGG16-UNet re-trained network with adjustable mask post-processing

This MATLAB application provides an intuitive graphical interface for rock segmentation in geological images using a pre-trained VGG16-UNet deep learning model. The GUI features real-time parameter ...
IEEE

Uncertainty-Aware Cross-Training for Semi-Supervised Medical Image Segmentation

Abstract: Semi-supervised learning has gained considerable popularity in medical image segmentation tasks due to its capability to reduce reliance on expert-examined annotations. Several mean-teacher ...
IEEE

AgentPolyp: Accurate Polyp Segmentation via Image Enhancement Agent

Abstract: Captured polyp images often suffer from degradation, such as dim lighting, blur, and overexposure. Direct segmentation is prone to artifact diffusion, which significantly degrades the ...
GitHub

Missing segmentation head training code

I noticed that in the DINOv3 repository, there are training scripts for linear probing (linear.py), k-NN (eval_knn.py), and logistic regression (eval_log_reg.py) heads, as well as corresponding main ...