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SAM-Med2D ➕

SAM-Med2D, the most comprehensive studies on applying SAM to medical 2D images.

🏆 Самая большая на сегодняшний день база данных по сегментации медицинских изображений (4,6 млн. изображений и 19,7 млн. масок) для обучения моделей.
🏆 Модель файнтюнинга Segment Anything Model (SAM).
🏆 Бенчмарк SAM-Med2D на крупномасштабных наборах данных.

🖥 Github: https://github.com/uni-medical/sam-med2d

🖥 Colab: https://colab.research.google.com/github/uni-medical/SAM-Med2D/blob/main/predictor_example.ipynb

📕 Paper: https://arxiv.org/abs/2308.16184

⭐️ Dataset: https://paperswithcode.com/dataset/sa-1b

ai_machinelearning_big_data

Machinelearning
SAM-Med2D ➕

SAM-Med2D, the most comprehensive studies on applying SAM to medical 2D images.

🏆 Самая большая на сегодняшний день база данных по сегментации медицинских изображений (4,6 млн. изображений и 19,7 млн. масок) для обучения моделей.
🏆 Модель файнтюнинга Segment Anything Model (SAM).
🏆 Бенчмарк SAM-Med2D на крупномасштабных наборах данных.

🖥 Github: https://github.com/uni-medical/sam-med2d

🖥 Colab: https://colab.research.google.com/github/uni-medical/SAM-Med2D/blob/main/predictor_example.ipynb

📕 Paper: https://arxiv.org/abs/2308.16184

⭐️ Dataset: https://paperswithcode.com/dataset/sa-1b

ai_machinelearning_big_data
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SAM-Med2D ➕

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