✨OpenUS: A Fully Open-Source Foundation Model for Ultrasound Image Analysis via Self-Adaptive Masked Contrastive Learning
📝 Summary:
OpenUS is an open-source ultrasound foundation model built on a large public dataset. It uses a vision Mamba backbone and a novel self-adaptive masking framework to enhance pre-training, enabling label-efficient fine-tuning for various US tasks.
🔹 Publication Date: Published on Nov 14
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.11510
• PDF: https://arxiv.org/pdf/2511.11510
• Github: https://github.com/XZheng0427/OpenUS
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For more data science resources:
✓ https://t.iss.one/DataScienceT
#OpenSource #FoundationModel #UltrasoundAI #MachineLearning #MedicalImaging
📝 Summary:
OpenUS is an open-source ultrasound foundation model built on a large public dataset. It uses a vision Mamba backbone and a novel self-adaptive masking framework to enhance pre-training, enabling label-efficient fine-tuning for various US tasks.
🔹 Publication Date: Published on Nov 14
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.11510
• PDF: https://arxiv.org/pdf/2511.11510
• Github: https://github.com/XZheng0427/OpenUS
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#OpenSource #FoundationModel #UltrasoundAI #MachineLearning #MedicalImaging
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