Wanglab
WanglabMedical AI research group behind MedSAM2, a foundation model unifying 2D and 3D segmentation for precision medicine.

Overview

WangLab’s MedSAM2 is a breakthrough medical image segmentation foundation model designed for precision medicine. Built on the Segment Anything Model (SAM) 2.1 architecture, it uniquely unifies 2D and 3D segmentation across volumetric scans and video data. By reducing manual annotation costs by over 85% while preserving high accuracy, MedSAM2 accelerates clinical and research workflows where precise segmentation is traditionally time-consuming.

Key WangLab Model

  • MedSAM2 [Pro] – Foundation model for medical image segmentation. Trained on 455K+ 3D image-mask pairs and 76K video frames across diverse modalities. Validated on thousands of CT, MRI, and echocardiogram cases, ensuring robustness across cardiology, oncology, and surgical specialties.

Why WangLab on Azure

Deploying MedSAM2 on Azure unlocks secure, compliant infrastructure for healthcare applications. Pair the model with GPU-accelerated inference, Responsible AI tooling, and seamless workflow integration to bring state-of-the-art segmentation to cardiology, oncology, and surgery at scale.
Total Models: 1
MedSAM2
MedSAM2

MedSAM2 is a breakthrough medical image segmentation foundation model that addresses the critical need for efficient and accurate segmentation in precision medicine. Built upon the Segment Anything Model (SAM) 2.1 architecture, it uniquely bridges the gap between 2D and 3D medical image segmentation

image-segmentation