A multicenter study to evaluate the analytical precision by pathologists using the Aperio GT 450 DX
The study results indicate that pathologists using the Aperio GT 450 DX WSI system can precisely identify histological features that may be required for accurately diagnosing anatomic pathology cases.
Authors
- Deepti Reddi (ORCID: https://orcid.org/0000-0002-7239-5350)
- Thomas W. Bauer (ORCID: https://orcid.org/0000-0003-0976-2119)
- Kelly D. Smith (ORCID: https://orcid.org/0000-0002-2368-4957)
- Matthew G. Hanna (ORCID: https://orcid.org/0000-0002-7536-1746)
- J. Lewis
- Orly Ardon (ORCID: https://orcid.org/0000-0001-8147-933X)
- Meera Hameed (ORCID: https://orcid.org/0000-0002-2766-243X)
- S. Joseph Sirintrapun (ORCID: https://orcid.org/0000-0003-2921-8831)
- Joseph Chiweshe
- Bernard S. Chang
- David Ferber
- Aysegul Ergin Sutcu
- Michael White (ORCID: https://orcid.org/0000-0001-9128-4747)
- Xiaozhi Zhou
- Shubham Dayal
Institutions
- Seattle Pacific University (US)
- Hospital for Special Surgery (US)
- Scripps Health (US)
- Memorial Sloan Kettering Cancer Center (US)
- University of Washington (US)
- Buffalo BioLabs (US)
Publication Details
- Journal
- Journal of Pathology Informatics
- Published
- 2024-10-09
- DOI
- https://doi.org/10.1016/j.jpi.2024.100401
- Citations
- 1
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.35