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...

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Bibliografski detalji
Izdano u:J Med Internet Res
Glavni autori: 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
Format: Artigo
Jezik:Inglês
Izdano: JMIR Publications 2021
Teme:
Original Paper
Online pristup: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
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