Artificial intelligence for digital and computational pathology
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Publisher
Springer Science and Business Media LLC
Link
https://www.nature.com/articles/s44222-023-00096-8.pdf
Reference239 articles.
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4. Skrede, O.-J. et al. Deep learning for prediction of colorectal cancer outcome: a discovery and validation study. Lancet 395, 350–360 (2020).
5. Ehteshami Bejnordi, B. et al. Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer. JAMA 318, 2199–2210 (2017). This article presents the outcome of the CAMELYON16 challenge for the detection of breast cancer lymph node metastases.
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