The future of artificial intelligence in digital pathology – results of a survey across stakeholder groups-Reference-Cited by-同舟云学术

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The future of artificial intelligence in digital pathology – results of a survey across stakeholder groups

Published:2022-05-11 Issue:7 Volume:80 Page:1121-1127
ISSN:0309-0167
Container-title:Histopathology
language:en
Short-container-title:Histopathology

Author:

Heinz Céline N¹,Echle Amelie¹,Foersch Sebastian²,Bychkov Andrey³^ORCID,Kather Jakob Nikolas¹⁴⁵^ORCID

Affiliation:

1. Department of Medicine III University Hospital RWTH Aachen Aachen Germany

2. Department of Pathology University Medical Center Mainz Mainz Germany

3. Department of Pathology, Kameda Medical Center, Kamogawa Chiba Japan

4. Medical Oncology, National Center for Tumor Diseases (NCT) University Hospital Heidelberg Heidelberg Germany

5. Pathology and Data Analytics, Leeds Institute of Medical Research at St James’ University of Leeds Leeds UK

Funder

Bundesministerium für Gesundheit

Deutsche Krebshilfe

Publisher

Wiley

Subject

General Medicine,Histology,Pathology and Forensic Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/his.14659

Reference35 articles.

1. Whole slide imaging equivalency and efficiency study: experience at a large academic center

2. Diagnostic time in digital pathology: A comparative study on 400 cases

3. Validating Whole Slide Imaging for Diagnostic Purposes in Pathology: Guideline from the College of American Pathologists Pathology and Laboratory Quality Center

4. Deep learning in cancer pathology: a new generation of clinical biomarkers

5. Artificial intelligence in liver diseases: Improving diagnostics, prognostics and response prediction

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