Unleashing the potential of digital pathology data by training computer-aided diagnosis models witho...
Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations
About this item
Full title
Author / Creator
Marini, Niccolò , Marchesin, Stefano , Otálora, Sebastian , Wodzinski, Marek , Caputo, Alessandro , van Rijthoven, Mart , Aswolinskiy, Witali , Bokhorst, John-Melle , Podareanu, Damian , Petters, Edyta , Boytcheva, Svetla , Buttafuoco, Genziana , Vatrano, Simona , Fraggetta, Filippo , van der Laak, Jeroen , Agosti, Maristella , Ciompi, Francesco , Silvello, Gianmaria , Muller, Henning and Atzori, Manfredo
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
Subjects
More information
Scope and Contents
Contents
The digitalization of clinical workflows and the increasing performance of deep learning algorithms are paving the way towards new methods for tackling cancer diagnosis. However, the availability of medical specialists to annotate digitized images and free-text diagnostic reports does not scale with the need for large datasets required to train rob...
Alternative Titles
Full title
Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations
Authors, Artists and Contributors
Author / Creator
Marchesin, Stefano
Otálora, Sebastian
Wodzinski, Marek
Caputo, Alessandro
van Rijthoven, Mart
Aswolinskiy, Witali
Bokhorst, John-Melle
Podareanu, Damian
Petters, Edyta
Boytcheva, Svetla
Buttafuoco, Genziana
Vatrano, Simona
Fraggetta, Filippo
van der Laak, Jeroen
Agosti, Maristella
Ciompi, Francesco
Silvello, Gianmaria
Muller, Henning
Atzori, Manfredo
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_68d27b5d6ac64a1abbd9bf6676cecdcf
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_68d27b5d6ac64a1abbd9bf6676cecdcf
Other Identifiers
ISSN
2398-6352
E-ISSN
2398-6352
DOI
10.1038/s41746-022-00635-4
