Article

Comparison of machine learning to deep learning for automated annotation of Gleason…

medRxiv · 2022 · Duenweg, S. R.; Brehler, M.; Bobholz, S. A.; Lowman, A. K.; Winiarz, A.; Kyereme, F.; Nencka, A.; Iczkowski, K. A.; LaViolette, P.

Key facts

Title Comparison of machine learning to deep learning for automated annotation of Gleason patterns in whole mount prostate cancer histology.
First author Duenweg, S. R.; Brehler, M.; Bobholz, S. A.; Lowman, A. K.; Winiarz, A.; Kyereme, F.; Nencka, A.; Iczkowski, K. A.; LaViolette, P.
Journal medRxiv
Published Nov 14, 2022
DOI 10.1101/2022.11.10.516007
Devices mentioned K072627, K183086
Product codes mentioned NAY

At a glance

  • 1–9 FDA submissions mentioned
  • 1–9 Product codes mentioned

Counts are shown as ranges. Exact figures, trends and every underlying record are available in Orca1.

About Literature

Peer-reviewed and preprint literature indexed by Orca1 and linked to the FDA submissions and product codes each article mentions. Only bibliographic details are shown here.

Source: Publisher and PubMed metadata; device mentions identified by Orca1

Browse all Literature