Hidden Variables in Deep Learning Digital Pathology and Their Potential to Cause Batch Effects: Prediction Model Study

BACKGROUND: An increasing number of studies within digital pathology show the potential of artificial intelligence (AI) to diagnose cancer using histological whole slide images, which requires large and diverse data sets. While diversification may result in more generalizable AI-based systems, it ca...

Descrizione completa

Salvato in:
Dettagli Bibliografici
Pubblicato in:J Med Internet Res
Autori principali: Schmitt, Max, Maron, Roman Christoph, Hekler, Achim, Stenzinger, Albrecht, Hauschild, Axel, Weichenthal, Michael, Tiemann, Markus, Krahl, Dieter, Kutzner, Heinz, Utikal, Jochen Sven, Haferkamp, Sebastian, Kather, Jakob Nikolas, Klauschen, Frederick, Krieghoff-Henning, Eva, Fröhling, Stefan, von Kalle, Christof, Brinker, Titus Josef
Natura: Artigo
Lingua:Inglês
Pubblicazione: JMIR Publications 2021
Soggetti:
Original Paper
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7886613/
https://ncbi.nlm.nih.gov/pubmed/33528370
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/23436
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne! !

Documenti analoghi