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Author/Creator Kiehl, Lennard

1. Deep learning approach to predict sentinel lymph node status directly from routine histology of primary melanoma tumours. (September 2021)

Authors:
Brinker, Titus J.; Kiehl, Lennard; Schmitt, Max; Jutzi, Tanja B.; Krieghoff-Henning, Eva I.; Krahl, Dieter; Kutzner, Heinz; Gholam, Patrick; Haferkamp, Sebastian; Klode, Joachim; Schadendorf, Dirk; Hekler, Achim; Fröhling, Stefan; Kather, Jakob N.; Haggenmüller, Sarah; von Kalle, Christof; Heppt,...
Journal:
European journal of cancer
Issue:
Volume 154(2021)
Page Start:
227
Record Type:
Journal Article
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Available online (eLD content is only available in our Reading Rooms) ↗

2. Deep learning can predict lymph node status directly from histology in colorectal cancer. (November 2021)

Authors:
Kiehl, Lennard; Kuntz, Sara; Höhn, Julia; Jutzi, Tanja; Krieghoff-Henning, Eva; Kather, Jakob N.; Holland-Letz, Tim; Kopp-Schneider, Annette; Chang-Claude, Jenny; Brobeil, Alexander; von Kalle, Christof; Fröhling, Stefan; Alwers, Elizabeth; Brenner, Hermann; Hoffmeister, Michael; Brinker, Titus J.
Journal:
European journal of cancer
Issue:
Volume 157(2021)
Page Start:
464
Record Type:
Journal Article
View Content:
Available online (eLD content is only available in our Reading Rooms) ↗

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