Deep learning based on hematoxylin–eosin staining outperforms immunohistochemistry in predicting molecular subtypes of gastric adenocarcinoma-Reference-Cited by-同舟云学术

Deep learning based on hematoxylin–eosin staining outperforms immunohistochemistry in predicting molecular subtypes of gastric adenocarcinoma

Published:2022-03-31 Issue:2 Volume:257 Page:218-226
ISSN:0022-3417
Container-title:The Journal of Pathology
language:en
Short-container-title:The Journal of Pathology

Author:

Flinner Nadine¹²³⁴,Gretser Steffen¹,Quaas Alexander⁵,Bankov Katrin¹,Stoll Alexander¹,Heckmann Lara E¹,Mayer Robin S¹,Doering Claudia¹,Demes Melanie C¹,Buettner Reinhard⁵,Rueschoff Josef⁶,Wild Peter J¹²³⁴⁷^ORCID

Affiliation:

1. Dr. Senckenberg Institute of Pathology University Hospital Frankfurt Frankfurt am Main Germany

2. Frankfurt Institute for Advanced Studies (FIAS) Frankfurt am Main Germany

3. Frankfurt Cancer Institute (FCI) Frankfurt am Main Germany

4. University Cancer Center (UCT) Frankfurt am Main Germany

5. Institute of Pathology University Hospital Cologne Cologne Germany

6. Targos Molecular Pathology GmbH Kassel Germany

7. Wildlab, University Hospital Frankfurt MVZ GmbH Frankfurt am Main Germany

Funder

Alfons und Gertrud Kassel-Stiftung

Publisher

Wiley

Subject

Pathology and Forensic Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/path.5879

Reference45 articles.

1. THE TWO HISTOLOGICAL MAIN TYPES OF GASTRIC CARCINOMA: DIFFUSE AND SO-CALLED INTESTINAL-TYPE CARCINOMA

2. Comprehensive molecular characterization of gastric adenocarcinoma

3. Clinical Significance of Four Molecular Subtypes of Gastric Cancer Identified by The Cancer Genome Atlas Project

4. Comprehensive expression profiles of gastric cancer molecular subtypes by immunohistochemistry: implications for individualized therapy

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Transcriptomic subtyping of gastrointestinal malignancies;Trends in Cancer;2024-09

2. Learning generalizable AI models for multi-center histopathology image classification;npj Precision Oncology;2024-07-19

3. Machine learning and multi-omics data reveal driver gene-based molecular subtypes in hepatocellular carcinoma for precision treatment;PLOS Computational Biology;2024-05-10

4. Die Modelltransferierbarkeit von KI in der digitalen Pathologie;Die Pathologie;2024-02-19

5. Management of high risk T1 gastric adenocarcinoma following endoscopic resection;Best Practice & Research Clinical Gastroenterology;2024-02