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The largest pre-trained medical image segmentation model (1.4B parameters) based on the largest public dataset (>100k annotations) to date.

Apache-2.011100

This is a repository for the ICLR2023 accepted paper -- Medical Image Understanding with Pretrained Vision Language Models: A Comprehensive Study.

[MICCAI'23] Text-guided Foundation Model Adaptation for Pathological Image Classification

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Language:PythonApache-2.010700

PULSE: Pretrained and Unified Language Service Engine

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[MICCAI'23] Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train

Apache-2.018600

Official Repository of NeurIPS 2023 - MedFM Challenge

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MedLSAM: Localize and Segment Anything Model for 3D Medical Images

Language:PythonApache-2.047800