Deep Learning for Histopathological Assessment of Esophageal Adenocarcinoma Precursor Lesions

Autor: Botros, Michel, de Boer, Onno J., Cardenas, Bryan, Bekkers, Erik J., Jansen, Marnix, van der Wel, Myrtle J., Sánchez, Clara I., Meijer, Sybren L.

Publikováno v: In Modern Pathology August 2024 37(8)

Patients With Barrett’s Esophagus and Confirmed Persistent Low-Grade Dysplasia Are at Increased Risk for Progression to Neoplasia

Autor: Duits, Lucas C., van der Wel, Myrtle J., Cotton, Cary C., Phoa, K. Nadine, ten Kate, Fiebo J.W., Seldenrijk, Cees A., Offerhaus, G. Johan A., Visser, Mike, Meijer, Sybren L., Mallant-Hent, Rosalie C., Krishnadath, Kausilia K., Pouw, Roos E., Tijssen, Jan G.P., Shaheen, Nicholas J., Bergman, Jacques J.G.H.M.

Publikováno v: In Gastroenterology April 2017 152(5):993-1001

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Histopathologist Features Predictive of Diagnostic Concordance at Expert Level Amongst a Large International Sample of Pathologists Diagnosing Barrett’s Dysplasia Using Digital Pathology

Autor: Coleman, Helen, van der Wel, Myrtle, Jansen, Marnix, Bergman, Jacques, Meijer, Sybren

Publikováno v: Coleman, H, van der Wel, M, Jansen, M, Bergman, J & Meijer, S 2019, ' Histopathologist Features Predictive of Diagnostic Concordance at Expert Level Amongst a Large International Sample of Pathologists Diagnosing Barrett’s Dysplasia Using Digital Pathology ', Gut, vol. 67, a147 . https://doi.org/10.1136/gutjnl-2018-BSGAbstracts.292

Introduction Histopathological diagnosis of dysplasia in Barrett’s oesophagus (BO) is the gold standard for patient risk stratification, but is subject to significant interobserver variation. We investigated histopathologist features that predict d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2607::1d0837c327822b9e31feaa4c9d6abfed
https://pure.qub.ac.uk/en/publications/histopathologist-features-predictive-of-diagnostic-concordance-at-expert-level-amongst-a-large-international-sample-of-pathologists-diagnosing-barretts-dysplasia-using-digital-pathology(f0ee5293-c7b8-4c64-a469-a2d9caae0aa1).html

Becoming an Expert in Dysplastic Barrett's Esophagus Assessment: Quantification of Expertise and Continuous Structural Education in the Set-Up of a National Digital Histopathology Review Panel

Autor: van der Wel, Myrtle, Brosens, Lodewijk, Biermann, Katharina, Doukas, Michael, Huysentruyt, Clement, Karrenbeld, A., Ten Kate, Fiebo, Kats-Ugurlu, Gursah, van der Laan, Jaap, van Lijnschoten, Ineke, Moll, Freek, Offerhaus, George, Ooms, Ariadne, Seldenrijk, C. A., Visser, Mike, Tijssen, Jan, Bergman, Jacques, Meijer, Sybren

Publikováno v: Modern Pathology, 32. Nature Publishing Group

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::e9f14e0c28dd709e012777a6e0f57c0f
https://research.rug.nl/en/publications/1b2b9f70-a31f-4a43-9d30-06b6e1317748