MedSAM2: Segment Anything in 3D Medical Images and Videos MedSAM2 Segment Anything in 3D Medical Images and Videos Welcome to join our mailing list to get updates We’re also actively looking to collaborate on annotating new large-scale 3D datasets If you have unlabeled medical images or videos and want to share them with the community, let’s connect!
MedSAM2: Segment Anything in 3D Medical Images and Videos MedSAM2 is a promptable segmentation network with an image encoder, a prompt encoder, a memory attention module, and a mask decoder The image encoder extracts multiscale features from each frame or 2D slice
SAM 2最新应用落地！牛津大学团队发布Medical SAM 2，刷新医学图像分割SOTA榜 2023 年 4 月，Meta 公司发布了 Segment Anything Model (SAM)，号称能够「分割一切」，犹如一颗重磅炸弹震荡了整个计算机视觉领域，甚至被很多人看作是颠覆传统 CV 任务的研究。 时隔 1 年多， Meta 再度发布里程碑式更新—— SAM 2 能够为静态图像和动态视频内容提供实时、可提示的对象分割，将图像与视频
MedSAM2: Segment Anything in 3D Medical Images and Videos MedSAM2 is also integrated into widely used platforms with user-friendly interfaces for local and cloud deployment, making it a practical tool for supporting efficient, scalable, and high-quality segmentation in both research and healthcare environments
wanglab MedSAM2 · Hugging Face MedSAM2 is a promptable segmentation segmentation model tailored for medical imaging applications Built upon the foundation of the Segment Anything Model (SAM) 2 1, MedSAM2 has been specifically adapted and fine-tuned for various 3D medical images and videos