BedrikovetskiSDudi-VenkataNNKroonHM, et al. Artificial intelligence for pre-operative lymph node staging in colorectal cancer: a systematic review and meta-analysis. BMC Cancer. 2021;21(1):1058.
2.
GoodfellowIJShlensJSzegedyC.Explaining and harnessing adversarial examples. Paper presented at the Proceedings of the International Conference on Learning Representations (ICLR); 7–9 May 2015; San Diego, CA.
3.
JarkmanSKarlbergMPocevičiūtėM, et al. Generalization of deep learning in digital pathology: experience in breast cancer metastasis detection. Cancers (Basel). 2022;14(21):5424.
4.
ShortenCKhoshgoftaarTM.A survey on image data augmentation for deep learning. J Big Data. 2019;6:60
5.
TellezDLitjensGBándiP, et al. Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology. Med Image Anal. 2019;58:101544
6.
ZimmermannEVorontsovEViretJ, et al. Virchow2: scaling self-supervised mixed magnification models in pathology. Preprint arXiv 2408.00738, 2024.