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AI in cancer detection Sign in to save
279
Aachen papers (primary topic)
214
Further papers (secondary topic)
8.63k
Citations
269
Aachen authors
Papers per year
20
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Papers 279
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Deep learning in cancer pathology: a new generation of clinical biomarkers2020 British Journal of Cancer article Computer Science AI in cancer detection Open access cited by 2 patents
Amelie Echle, Niklas Rindtorff, Titus Josef Brinker, Tom Luedde, Alexander T. Pearson, Jakob Nikolas Kather
697citations -
Deep Learning–Based Segmentation and Quantification in Experimental Kidney Histopathology2020 Journal of the American Society of Nephrology article Computer Science AI in cancer detection Open access
Nassim Bouteldja, Barbara M. Klinkhammer, Roman David Bülow, Patrick Droste, Simon Otten, Saskia Freifrau von Stillfried, +12 more
187citations -
Interpretable deep learning model to predict the molecular classification of endometrial cancer from haematoxylin and eosin-stained whole-slide images: a combined analysis of the PORTEC randomised trials and clinical cohorts
Sarah Volinsky-Fremond, Sonali Andani, Jurriaan Barkey Wolf, Jouke Dijkstra, Sinead Melsbach, Jan J. Jobsen, +18 more
134citations -
Development and validation of deep learning classifiers to detect Epstein-Barr virus and microsatellite instability status in gastric cancer: a retrospective multicentre cohort study
Hannah Sophie Muti, Lara Rosaline Heij, Gisela Keller, Meike Kohlruss, Rupert Langer, Bastian Dislich, +29 more
127citations -
Artificial intelligence for detection of microsatellite instability in colorectal cancer—a multicentric analysis of a pre-screening tool for clinical application
Amelie Echle, Narmin Ghaffari Laleh, Philip Quirke, Heike Irmgard Grabsch, Hannah Sophie Muti, Oliver Lester Saldanha, +32 more
112citations
Most active Aachen authors
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Jakob Nikolas Kather 22,991 citations overall74 papers
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