Benutzer: Gast  Login
Titel:

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

Dokumenttyp:
Article; Journal Article
Autor(en):
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
Abstract:
Image analysis assistance with artificial intelligence (AI) has become one of the great promises over recent years in pathology, with many scientific studies being published each year. Nonetheless, and perhaps surprisingly, only few image AI systems are already in routine clinical use. A major reason for this is the missing validation of the robustness of many AI systems: beyond a narrow context, the large variability in digital images due to differences in preanalytical laboratory procedures, s...     »
Zeitschriftentitel:
Mod Pathol
Jahr:
2023
Band / Volume:
36
Heft / Issue:
3
Volltext / DOI:
doi:10.1016/j.modpat.2022.100033
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/36931740
Print-ISSN:
0893-3952
TUM Einrichtung:
Professur für Nephrologie (Prof. Heemann)
 BibTeX