SAM-Med3D: 进一步加速数据和模型的生产与迭代 医学图像和自然图像之间存在显著的差异,而且医学图像领域缺乏大规模的基准数据集,这是导致AI在医学领域进展缓慢的重要原因之一。通过构建大规模的基准数据集和可靠的基线模型,我们可以推动AI在医疗领域的快速发展,并加速医疗向更通用方向转变的进程。如果您对此话题感兴趣,欢...
Baseline 为 SAM-Med3D 微调前的性能,可以看到在新的下游任务上表现不够好,因为训练数据中没有对应分布的图像;FT-expert 为仅仅在 SPPIN2023 上微调 Mask Decoder的性能表现,可以看出虽然在 SPPIN 上效果较为优秀,但是在之前的任务上性能降低很多;作者提出的 SAM-Med3D-MoE 可以看出,在之前的任务上性能几乎没有...
and our SAM-Med3D on 3D Volumetric Medical Images. Both SAM and SAM-Med2D take N prompt points (one for each slice) whereas SAM-Med3D uses a single prompt point for the entire 3D volume. Here, N corresponds to the number of slices containing the target object. The top-left corner pro...
SAM by fine-tuning the model. However, the encoders are based on the ViT architecture, which incurs high computational costs when applied directly to 3D medical data, limiting real-time performance on resource-constrained devices. To address these limitations, we introduce TinySAM-Med3D, an ...
While existing volumetric foundation modelsfor medical image segmentation, such as SAM-Med3D and SegVol, haveshown remarkable performance on general organs and tumors, their ability to segment certain categories in clinical downstream tasks remains limited. Supervised Finetuning (SFT) serves as an ...
MedSAM-Lite 3D Slicer Plugin This is the official repository for 3D Slicer Plugin for MedSAM: Segment Anything in Medical Images. output.mp4 Installation You can watch a video tutorial of installation stepshere. Install 3D Slicer from its officialwebsite. The compatibility of our plugin has been...
We anticipatethat SAM-Med3D-MoE can serve as a new framework for adaptingthe foundation model to specific areas in medical image analysis.Codes and datasets will be publicly available. 展开 会议名称: International Conference on Medical Image Computing and Computer-Assisted Intervention ...
However, the encoders are based on the ViT architecture, which incurs high computational costs when applied directly to 3D medical data, limiting real-time performance on resource-constrained devices. To address these limitations, we introduce TinySAM-Med3D, an efficient SAM tailored for 3D medical...
1. MedSAM1 performs 2D segmentation, requiring a user-defined box prompt (ROI) for each LA slice (Fig.1a). MedSAM2, on the other hand, is capable of 3D segmentation using only a single freehand (scribble) prompt drawn on one slice6, followed by automated tracking across the subsequent...
MedSAM-Lite 3D Slicer Plugin This is the official repository for 3D Slicer Plugin for MedSAM: Segment Anything in Medical Images. output.mp4 Installation You can watch a video tutorial of installation stepshere. Install 3D Slicer from its officialwebsite. The compatibility of our plugin has been...