AI & Machine Learning

A deep learning framework for efficient pathology image analysis

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Researchers introduced EAGLE, a deep learning framework for efficient pathology image analysis that selectively examines informative regions, outperforming existing methods by up to 23% while reducing computational time by over 99%. This advancement is crucial for content creators in digital pathology as it enables real-time workflows and enhances accessibility of AI-powered diagnostics.

Read the full article at arXiv cs.CV (Vision)

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A deep learning framework for efficient pathology image analysis

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