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After training completed, the demo applied the trained model to a test dataset of 100 items. The model's accuracy is 91.00 percent so 91 of the 100 test images were correctly classified. [Click on ...
More information: Taebin Kim et al, Stain SAN: simultaneous augmentation and normalization for histopathology images, Journal of Medical Imaging (2024). DOI: 10.1117/1.JMI.11.4.044006 Provided by SPIE ...
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