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Found 2 papers, 1 papers with code
Preparing data for pathological artificial intelligence with clinical-grade performance
The digital pathology is fundamental of clinical-grade PAI, and the techniques of data standardization and weakly supervised learning methods based on whole slide image (WSI) are effective ways to overcome obstacles of performance reproduction.
Multi-scale super-resolution generation of low-resolution scanned pathological images
We design a strategy to scan slides with low resolution (5X) and a super-resolution method is proposed to restore the image details when in diagnosis.
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