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Cancer of unknown primary (CUP) is an enigmatic group of diagnoses where the primary anatomical site of tumor origin cannot be determined.
Metastatic adenocarcinoma of an unknown primary site: a comparison of the relative contributions of morphology, minimal essential clinical data and cea immunostaining status
Sheahan, K. et al · 1993
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Mir-92b and mir-9/9* are specifically expressed in brain primary tumors and can be used to differentiate primary from metastatic brain tumors
Nass, D. et al · 2009
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Carcinomas of an unknown primary origin—diagnosis and treatment
Massard, C., Loriot, Y. & Fizazi, K · 2011
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Mucosal colonization by metastatic carcinoma in the gastrointestinal tract: a potential mimic of primary neoplasia
Estrella, J. S., Wu, T.-T., Rashid, A. & Abraham, S. C · 2011
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Interrater reliability: the kappa statistic
McHugh, M. L · 2012
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Cancer of unknown primary site
Varadhachary, G. R. & Raber, M. N · 2014
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Deep learning
LeCun, Y., Bengio, Y. & Hinton, G · 2015
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Dermatologist-level classification of skin cancer with deep neural networks
Esteva, A. et al · 2017
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Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning
Coudray, N. et al · 2018
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Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning
Poplin, R. et al · 2018
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Attention-based deep multiple instance learning
Ilse, M., Tomczak, J. & Welling, M · 2018
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Application of a neural network whole transcriptome–based pan-cancer method for diagnosis of primary and metastatic cancers
Grewal, J. K. et al · 2019
Cited alongside, same era.
A guide to deep learning in healthcare
Esteva, A. et al · 2019
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Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
Campanella, G. et al · 2019
Cited alongside, same era.
An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosis
Chen, P.-H. C. et al · 2019
Cited alongside, same era.
Artificial intelligence in digital pathology—new tools for diagnosis and precision oncology
Development of genome-derived tumor type prediction to inform clinical cancer care
Penson, A. et al · 2020
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A deep learning system for differential diagnosis of skin diseases
Liu, Y. et al · 2020
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Data efficient and weakly supervised computational pathology on whole slide images
Lu, M. Y. et al · 2020
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Artificial intelligence–enabled rapid diagnosis of patients with covid-19
Mei, X. et al · 2020
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Video-based ai for beat-to-beat assessment of cardiac function
Ouyang, D. et al · 2020
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Near real-time intraoperative brain tumor diagnosis using stimulated raman histology and deep neural networks
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Bera, K., Schalper & Madabhushi, A · 2019
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Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer
Kather, J. N. et al · 2019
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A clinically applicable approach to continuous prediction of future acute kidney injury
Tomašev, N. et al · 2019
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Progress in refining the clinical management of cancer of unknown primary in the molecular era
Rassy, E. & Pavlidis, N · 2020
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A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns
Jiao, W. et al · 2020
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Hollon, T. C. et al · 2020
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Automated deep-learning system for gleason grading of prostate cancer using biopsies: a diagnostic study
Bulten, W. et al · 2020
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Prediction of mortality from 12-lead electrocardiogram voltage data using a deep neural network
Raghunath, S. et al · 2020
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Geospatial immune variability illuminates differential evolution of lung adenocarcinoma
AbdulJabbar, K. et al · 2020
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Detection of anaemia from retinal fundus images via deep learning
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