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Abele, Niklas ; Tiemann, Katharina ; Krech, Till ; Wellmann, Axel ; Schaaf, Christian ; Länger, Florian ; Peters, Anja ; Donner, Andreas ; Keil, Felix ; Daifalla, Khalid ; Mackens, Marina ; Mamilos, Andreas ; Minin, Evgeny ; Krümmelbein, Michel ; Krause, Linda ; Stark, Maria ; Zapf, Antonia ; Päpper, Marc ; Hartmann, Arndt ; Lang, Tobias

Noninferiority of Artificial Intelligence–Assisted Analysis of Ki-67 and Estrogen/Progesterone Receptor in Breast Cancer Routine Diagnostics

Abele, Niklas, Tiemann, Katharina, Krech, Till, Wellmann, Axel, Schaaf, Christian, Länger, Florian, Peters, Anja, Donner, Andreas, Keil, Felix, Daifalla, Khalid, Mackens, Marina, Mamilos, Andreas, Minin, Evgeny, Krümmelbein, Michel, Krause, Linda , Stark, Maria, Zapf, Antonia, Päpper, Marc, Hartmann, Arndt and Lang, Tobias (2023) Noninferiority of Artificial Intelligence–Assisted Analysis of Ki-67 and Estrogen/Progesterone Receptor in Breast Cancer Routine Diagnostics. Modern Pathology 36 (3), p. 100033.

Date of publication of this fulltext: 18 Mar 2025 10:09
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Item typeArticle
Journal or Publication TitleModern Pathology
Publisher:ELSEVIER SCIENCE INC
Place of Publication:NEW YORK
Volume:36
Number of Issue or Book Chapter:3
Page Range:p. 100033
Date2023
InstitutionsMedicine > Lehrstuhl für Pathologie
Identification Number
ValueType
10.1016/j.modpat.2022.100033DOI
KeywordsINTERNATIONAL KI67; GUIDELINE; PATHOLOGY; digital pathology; mammary carcinoma; surgical pathology
Dewey Decimal Classification600 Technology > 610 Medical sciences Medicine
StatusPublished
RefereedYes, this version has been refereed
Created at the University of RegensburgYes
Item ID76065

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