Centrala begrepp
Advancing SAMM Extended for Medical Image Segmentation
Sammanfattning
SAMM Extended (SAMME) platform integrates new SAM variant models, faster communication protocols, interactive modes, and fine-tuning capabilities.
SAMME aims to enhance foundation models like SAM for medical image segmentation applications.
Real-time segmentation, prompt propagation, and 3D bounding boxes are key features of SAMME.
SAMME architecture includes 3D Slicer, SAMME Server, and SAMME Bridge for efficient segmentation.
Integration of SAM variants supports broader model exploration for medical image analysis.
SAMME enables interactive segmentation for various applications like image-guided therapy and robotic navigation.
Statistik
SAM presents a novel paradigm in image segmentation for generating object masks under zero- or few-shot conditions.
SAMME achieves real-time mask inference of 0.008 seconds, ten times faster than previous implementations.
SAMME supports prompt propagation for efficient segmentation of similar slices.
Citat
"Segment Anything Model (SAM) is a notable foundation model among large-scale models for computer vision tasks."
"Real-time capability of SAMME results in minimal waiting times, ensuring almost instantaneous responses to prompts."