Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology

Research article (Medical Image Analysis, 2019) · cited 575× · AI/ML
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Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology

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Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology. Retrieved May 24, 2026, from https://4ort.xyz/entity/quantifying-the-effects-of-data-augmentation-and-stain-color-normalization-in-convolutional-neural-networks-for-computat
MLA “Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/quantifying-the-effects-of-data-augmentation-and-stain-color-normalization-in-convolutional-neural-networks-for-computat.
BibTeX @misc{4ortxyz_quantifying-the-effects-of-data-augmentation-and-stain-color-normalization-in-convolutional-neural-networks-for-computat_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology}}, year = {2026}, url = {https://4ort.xyz/entity/quantifying-the-effects-of-data-augmentation-and-stain-color-normalization-in-convolutional-neural-networks-for-computat}, note = {Accessed: 2026-05-24}}
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