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So essentially,
Medical SAM 2 can segment medical images in 2D and 3D!
Paper:
Medical SAM 2: Segment medical images as video via Segment Anything Model 2 (14 Pages)
Github:
https://github.com/MedicineToken/Medical-SAM2
Researchers from University of Oxford are interested in application of the Segment Anything Model 2 (SAM 2) framework for medical image segmentation. SAM 2 is the newest model by Meta which is the first unified model for segmenting objects across images and videos.
Hmm..What’s the background?
Medical image segmentation, a crucial aspect of visual segmentation, involves partitioning an image into distinct regions of interest for applications like diagnosis and surgery. Large foundation models like SAM 2 have shown substantial potential in various applications, including medical image segmentation, due to their robust zero-shot capabilities. The researchers introduce MedSAM-2, an advanced segmentation model built upon the SAM 2 framework.
Ok, So what is proposed in the research paper?
MedSAM-2 treats medical images as videos, employing a unique module and pipeline for both 2D and 3D medical image segmentation. This unlocks a feature called One-prompt Segmentation. One-prompt Segmentation allows users to provide a single prompt for an object in one image, and the model can segment the same object type in subsequent images, even without temporal relationships between them.
The researchers evaluated MedSAM-2 across 15 different benchmarks, encompassing 26 distinct tasks for validation.8 MedSAM-2 showed superior performance and achieved state-of-the-art results in both 2D and 3D medical image segmentation tasks.
What’s next?
Future work could explore optimizations and adaptations to further enhance the model's speed, making it even more suitable for time-sensitive clinical applications.
Future work could also explore adapting the model's video-like processing and One-prompt Segmentation capabilities to other complex segmentation tasks in different fields. This could include applications in areas like autonomous driving, robotics, or satellite imagery analysis.
So essentially,
Medical SAM 2 can segment medical images in 2D and 3D!
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