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Self-supervised learning framework application for medical image analysis: a review and summary

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Abstract Manual annotation of medical image datasets is labor-intensive and prone to biases. Moreover. the rate at which image data accumulates significantly outpaces the speed of manual annotation. posing a challenge to the advancement of machine learning. https://foldlyers.shop/product-category/hdmi/
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