Ultrasound segmentation

CFFormer: Cross CNN-Transformer Attention Model

CFFormer: How Cross CNN-Transformer Attention Finally Solves the Blurry Ultrasound Problem

Leave a Comment / Machine Learning, Image Segmentation, Medical AI /

CFFormer: How Cross CNN-Transformer Attention Finally Solves the Blurry Ultrasound Problem | AI Trend Blend AITrendBlend Machine Learning Computer Vision Medical AI About Medical Image Segmentation · Expert Systems with Applications · 2025 · 24 min read CFFormer: How Cross CNN-Transformer Attention Finally Solves the Blurry Ultrasound Problem Researchers at University of Nottingham Ningbo built […]

CFFormer: How Cross CNN-Transformer Attention Finally Solves the Blurry Ultrasound Problem Read More »

Sam2Rad architecture The Sam2Rad architecture incorporates a (hierarchical) two-way attention module to predict prompts for queried objects. Each object/class is represented by learnable queries . The Prompt Predictor Network (PPN) predicts bounding box coordinates of the target object , an intermediate mask prompt , and high-dimensional prompt embeddings . The prompt embeddings can represent various prompts suitable for the task, such as several point prompts or high-level semantic information. The predicted prompts (i.e., , , & ) are then fed to SAM’s mask decoder to generate the final segmentation mask. PPN also supports multi-class medical image segmentation by using class-specific queries .

Sam2Rad: Revolutionizing Medical Image Segmentation with AI-Powered Automation

2 Comments / Machine Learning /

Medical imaging has long been a cornerstone of modern healthcare, enabling clinicians to diagnose, treat, and monitor a wide range of conditions. However, the manual segmentation of structures in medical images remains a time-consuming and expertise-intensive task. With the advent of deep learning and foundation models like the Segment Anything Model (SAM), there is growing

Sam2Rad: Revolutionizing Medical Image Segmentation with AI-Powered Automation Read More »

Follow by Email
Facebook
X (Twitter)
Tiktok