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Automated detection of Polycystic Ovary Syndrome (PCOS) from ultrasound images using a combination of SAM (Segment Anything Model) for follicle segmentation and Vision Mamba (Vim) for classification.
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The project is a very recent (7 days old) research prototype with no stars or forks. It novelly combines the Segment Anything Model (SAM) with the state-of-the-art Vision Mamba (Vim) architecture for a specific medical niche. While technically advanced in its choice of components, it is currently a personal research repository without a distribution mechanism or community, making it easily reproducible by any researcher with access to similar ultrasound datasets.
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