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Hemamali Samaratunga

Showing results (171-180 of 187) with videos related to

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Pathology|December 5, 2014
Active surveillance for prostate cancer: the role of the pathologistBrett Delahunt, Elizabeth Hammond, Lars Egevad, et al.
European Urology Oncology|April 12, 2023
Development and External Validation of a Novel Nomogram to Predict the Probability of Pelvic Lymph-node Metastases in Prostate Cancer Patients Using Magnetic Resonance Imaging and Molecular Imaging with Prostate-specific Membrane Antigen Positron Emission TomographyAndré N Vis, Dennie Meijer, Matthew J Roberts, et al.
European Urology Open Science|April 20, 2026
Finding Holes: Pathologist-Level Performance Using AI for Cribriform Morphology Detection in Prostate CancerKelvin Szolnoky, Anders Blilie, Nita Mulliqi, et al.
Annales De Pathologie|December 16, 2014
[Renal tumors: The International Society of Urologic Pathology (ISUP) 2012 consensus conference recommendations]Nathalie Rioux-Leclercq, Algaba Ferran, Amin Mahul, et al.
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.
BMJ Open|July 7, 2025
Development and retrospective validation of an artificial intelligence system for diagnostic assessment of prostate biopsies: study protocolNita Mulliqi, Anders Blilie, Xiaoyi Ji, 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.
Pathology|December 18, 2019
Intraductal carcinoma of the prostate is an aggressive form of invasive carcinoma and should be gradedHemamali Samaratunga, Brett Delahunt, Lars Egevad, 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.
Pageof 19

Showing results (171-180 of 187) with videos related to

Sort By:
Pageof 19
Pathology|December 5, 2014
Active surveillance for prostate cancer: the role of the pathologistBrett Delahunt, Elizabeth Hammond, Lars Egevad, et al.
European Urology Oncology|April 12, 2023
Development and External Validation of a Novel Nomogram to Predict the Probability of Pelvic Lymph-node Metastases in Prostate Cancer Patients Using Magnetic Resonance Imaging and Molecular Imaging with Prostate-specific Membrane Antigen Positron Emission TomographyAndré N Vis, Dennie Meijer, Matthew J Roberts, et al.
European Urology Open Science|April 20, 2026
Finding Holes: Pathologist-Level Performance Using AI for Cribriform Morphology Detection in Prostate CancerKelvin Szolnoky, Anders Blilie, Nita Mulliqi, et al.
Annales De Pathologie|December 16, 2014
[Renal tumors: The International Society of Urologic Pathology (ISUP) 2012 consensus conference recommendations]Nathalie Rioux-Leclercq, Algaba Ferran, Amin Mahul, et al.
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.
BMJ Open|July 7, 2025
Development and retrospective validation of an artificial intelligence system for diagnostic assessment of prostate biopsies: study protocolNita Mulliqi, Anders Blilie, Xiaoyi Ji, 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.
Pathology|December 18, 2019
Intraductal carcinoma of the prostate is an aggressive form of invasive carcinoma and should be gradedHemamali Samaratunga, Brett Delahunt, Lars Egevad, 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.
Pageof 19