Improving Ki67 assessment concordance by the use of an artificial intelligence-empowered microscope: a multi-institutional ring study

Cai, L; Yan, K; Bu, H; Yue, M; Dong, P; Wang, X; Li, L; Tian, K; Shen, H; Zhang, Jun; Shang, J; Niu, S; Han, D; Ren, C; Huang, J; Han, X; Yao, J; Liu, Y

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Improving Ki67 assessment concordance by the use of an artificial intelligence-empowered microscope: a multi-institutional ring study

Version 2 2024-06-05, 00:42

Version 1 2022-09-30, 02:23

journal contribution

posted on 2024-06-05, 00:42 authored by L Cai, K Yan, H Bu, M Yue, P Dong, X Wang, L Li, K Tian, H Shen, Jun Zhang, J Shang, S Niu, D Han, C Ren, J Huang, X Han, J Yao, Y Liu

Improving Ki67 assessment concordance by the use of an artificial intelligence-empowered microscope: a multi-institutional ring study

History

Journal

Histopathology

Volume

79

Pagination

544-555

Location

England

Publisher DOI

https://doi.org/10.1111/his.14383

ISSN

0309-0167

eISSN

1365-2559

Language

en

Publication classification

C1.1 Refereed article in a scholarly journal

Issue

4

Publisher

Wiley

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Keywords

AI-empowered microscope Ki67 breast cancer reference card ring study Artificial Intelligence Biomarkers, Tumor Breast Neoplasms Female Humans Image Interpretation, Computer-Assisted Ki-67 Antigen Microscopy Observer Variation Pathology, Clinical Reproducibility of Results Retrospective Studies

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Improving Ki67 assessment concordance by the use of an artificial intelligence-empowered microscope: a multi-institutional ring study

History

Journal

Volume

Pagination

Location

Publisher DOI

ISSN

eISSN

Language

Publication classification

Issue

Publisher

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Keywords

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