TY  - JOUR
AU  - Kuntz, Sara Andrea
AU  - Krieghoff-Henning, Eva
AU  - Kather, Jakob N
AU  - Jutzi, Tanja
AU  - Höhn, Julia
AU  - Kiehl, Lennard
AU  - Hekler, Achim
AU  - Alwers, Elizabeth
AU  - von Kalle, Christof
AU  - Fröhling, Stefan
AU  - Utikal, Jochen S
AU  - Brenner, Hermann
AU  - Hoffmeister, Michael
AU  - Brinker, Titus
TI  - Gastrointestinal cancer classification and prognostication from histology using deep learning: Systematic review.
JO  - European journal of cancer
VL  - 155
SN  - 0959-8049
CY  - Amsterdam [u.a.]
PB  - Elsevier
M1  - DKFZ-2021-01821
SP  - 200 - 215
PY  - 2021
N1  - #EA:C140#LA:C140#
AB  - Gastrointestinal cancers account for approximately 20
KW  - Artificial intelligence (Other)
KW  - Colorectal cancer (Other)
KW  - Convolutional neural network (Other)
KW  - Deep learning (Other)
KW  - Digital biomarker (Other)
KW  - Esophageal cancer (Other)
KW  - Gastric cancer (Other)
KW  - Gastrointestinal cancer (Other)
KW  - Pathology (Other)
LB  - PUB:(DE-HGF)16
C6  - pmid:34391053
DO  - DOI:10.1016/j.ejca.2021.07.012
UR  - https://inrepo02.dkfz.de/record/170213
ER  -