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Virchows Archiv : an International Journal of Pathology|June 17, 2020
Identification of areas of grading difficulties in prostate cancer and comparison with artificial intelligence assisted gradingLars Egevad, Daniela Swanberg, Brett Delahunt, et al.
American Journal of Cancer Research|September 15, 2021
Diagnosis of "cribriform" prostatic adenocarcinoma: an interobserver reproducibility study among urologic pathologists with recommendationsRajal B Shah, Qi Cai, Manju Aron, et al.
Histopathology|March 31, 2016
Gleason grade 4 prostate adenocarcinoma patterns: an interobserver agreement study among genitourinary pathologistsCharlotte F Kweldam, Daan Nieboer, Ferran Algaba, et al.
Histopathology|January 24, 2018
Utility of Pathology Imagebase for standardisation of prostate cancer gradingLars Egevad, Brett Delahunt, Daniel M Berney, et al.
The Lancet. Oncology|January 14, 2020
Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic studyPeter Ström, Kimmo Kartasalo, Henrik Olsson, et al.
Nature Medicine|January 14, 2022
Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challengeWouter Bulten, Kimmo Kartasalo, Po-Hsuan Cameron Chen, et al.
Annals of Diagnostic Pathology|September 30, 2014
Intraductal carcinoma of the prostate: interobserver reproducibility survey of 39 urologic pathologistsKenneth A Iczkowski, Lars Egevad, Jun Ma, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|March 5, 2021
New developments in existing WHO entities and evolving molecular concepts: The Genitourinary Pathology Society (GUPS) update on renal neoplasiaKiril Trpkov, Ondrej Hes, Sean R Williamson, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|February 2, 2021
Novel, emerging and provisional renal entities: The Genitourinary Pathology Society (GUPS) update on renal neoplasiaKiril Trpkov, Sean R Williamson, Anthony J Gill, et al.
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