Analysing cerebrospinal fluid with explainable deep learning: From diagnostics to insights-Reference-Cited by-同舟云学术

Analysing cerebrospinal fluid with explainable deep learning: From diagnostics to insights

Published:2023-01-17 Issue:1 Volume:49 Page:
ISSN:0305-1846
Container-title:Neuropathology and Applied Neurobiology
language:en
Short-container-title:Neuropathology Appl Neurobio

Author:

Schweizer Leonille¹²^ORCID,Seegerer Philipp³⁴^ORCID,Kim Hee‐yeong⁵,Saitenmacher René³,Muench Amos¹²,Barnick Liane¹,Osterloh Anja¹,Dittmayer Carsten¹,Jödicke Ruben¹²,Pehl Debora⁶,Reinhardt Annekathrin⁷,Ruprecht Klemens⁸,Stenzel Werner¹^ORCID,Wefers Annika K.⁹^ORCID,Harter Patrick N.¹⁰¹¹¹²,Schüller Ulrich⁹¹³¹⁴^ORCID,Heppner Frank L.¹²¹⁵¹⁶,Alber Maximilian⁴¹⁷,Müller Klaus‐Robert³¹⁸¹⁹²⁰,Klauschen Frederick¹⁹²¹²²

Affiliation:

1. Department of Neuropathology Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt‐Universität zu Berlin Berlin Germany

2. German Cancer Consortium (DKTK), Partner Site Berlin German Cancer Research Center (DKFZ) Heidelberg Germany

3. Machine‐Learning Group, Department of Software Engineering and Theoretical Computer Science Technische Universität Berlin Berlin Germany

4. Aignostics GmbH Berlin Germany

5. Systems Medicine of Infectious Disease Robert Koch Institute Berlin Germany

6. Department of Pathology Vivantes Hospitals Berlin Berlin Germany

7. Department of Neuropathology University Hospital Heidelberg Heidelberg Germany

8. Department of Neurology Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt‐Universität zu Berlin Berlin Germany

9. Institute of NeuropathologyUniversity Medical Center Hamburg‐Eppendorf Hamburg Germany

10. Neurological Institute (Edinger Institute) Goethe University Frankfurt am Main Germany

11. Frankfurt Cancer Institute Goethe University Frankfurt am Main Germany

12. German Cancer Consortium (DKTK), Partner Site Frankfurt/Mainz German Cancer Research Center (DKFZ) Heidelberg Germany

13. Department of Pediatric Hematology and Oncology University Medical Center Hamburg‐Eppendorf Hamburg Germany

14. Research Institute Children's Cancer Center Hamburg Hamburg Germany

15. Cluster of Excellence NeuroCure Berlin Germany

16. German Center for Neurodegenerative Diseases (DZNE) Berlin Berlin Germany

17. Institute of Pathology Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt‐Universität zu Berlin Berlin Germany

18. Max Planck Institut für Informatik Saarbrücken Germany

19. Berlin Institute for the Foundations of Learning and Data (BIFOLD) Berlin Germany

20. Department of Artificial Intelligence Korea University Seoul South Korea

21. German Cancer Consortium (DKTK), Partner Site Munich German Cancer Research Center (DKFZ) Heidelberg Germany

22. Institute of Pathology Ludwig‐Maximilians‐Universität München Munich Germany

Funder

Deutsche Forschungsgemeinschaft

Deutschen Konsortium für Translationale Krebsforschung

Publisher

Wiley

Subject

Physiology (medical),Neurology (clinical),Neurology,Histology,Pathology and Forensic Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/nan.12866

Reference45 articles.

1. Automated Analysis of Cerebrospinal Fluid Cells Using Commercially Available Blood Cell Analysis Devices—A Critical Appraisal

2. Cerebrospinal fluid cytology in subacute subarachnoid hemorrhage

3. CSF cytology-the ongoing dilemma to distinguish neoplastic and inflammatory lymphocytes