MIC-DKFZ/LesionLocator

Medical SAM3: A Foundation Model for Universal Prompt-Driven Medical Image Segmentation

MedSAM2: Segment Anything in 3D Medical Images and Videos

nnInteractive is a framework for 3D interactive segmentation, supporting intuitive prompts like points, scribbles, bounding boxes, and lasso. Trained on 120+ diverse 3D datasets, it sets a new standard in accuracy, usability, and adaptability for clinical and research applications.

SAM-Med3D: An Efficient General-purpose Promptable Segmentation Model for 3D Volumetric Medical Image

BiomedParse: A Foundation Model for Joint Segmentation, Detection, and Recognition of Biomedical Objects Across Nine Modalities

Free-Text Promptable Universal 3D Medical Image Segmentation

An AI framework for clinical diagnosis of 3D biomedical scans

nnInteractive plugin for Napari - nnInteractive is a framework for 3D interactive segmentation, supporting intuitive prompts like points, scribbles, bounding boxes, and lasso. Trained on 120+ diverse 3D datasets, it sets a new standard in accuracy, usability, and adaptability for clinical and research applications.

Tool for robust segmentation of >100 important anatomical structures in CT and MR images