Deep learning for prediction of colorectal cancer outcome: a discovery and validation study
Deep learning for prediction of colorectal cancer outcome: a discovery and validation study
About this item
Full title
Author / Creator
Skrede, Ole-Johan , De Raedt, Sepp , Kleppe, Andreas , Hveem, Tarjei S , Liestøl, Knut , Maddison, John , Askautrud, Hanne A , Pradhan, Manohar , Nesheim, John Arne , Albregtsen, Fritz , Farstad, Inger Nina , Domingo, Enric , Church, David N , Nesbakken, Arild , Shepherd, Neil A , Tomlinson, Ian , Kerr, Rachel , Novelli, Marco , Kerr, David J and Danielsen, Håvard E
Publisher
England: Elsevier Ltd
Journal title
Language
English
Formats
Publication information
Publisher
England: Elsevier Ltd
Subjects
More information
Scope and Contents
Contents
Improved markers of prognosis are needed to stratify patients with early-stage colorectal cancer to refine selection of adjuvant therapy. The aim of the present study was to develop a biomarker of patient outcome after primary colorectal cancer resection by directly analysing scanned conventional haematoxylin and eosin stained sections using deep l...
Alternative Titles
Full title
Deep learning for prediction of colorectal cancer outcome: a discovery and validation study
Authors, Artists and Contributors
Author / Creator
De Raedt, Sepp
Kleppe, Andreas
Hveem, Tarjei S
Liestøl, Knut
Maddison, John
Askautrud, Hanne A
Pradhan, Manohar
Nesheim, John Arne
Albregtsen, Fritz
Farstad, Inger Nina
Domingo, Enric
Church, David N
Nesbakken, Arild
Shepherd, Neil A
Tomlinson, Ian
Kerr, Rachel
Novelli, Marco
Kerr, David J
Danielsen, Håvard E
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_cristin_nora_10852_80855
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_cristin_nora_10852_80855
Other Identifiers
ISSN
0140-6736
E-ISSN
1474-547X
DOI
10.1016/S0140-6736(19)32998-8
