The vendor-agnostic EMPAIA platform for integrating AI applications into digital pathology infrastructures-Reference-Cited by-同舟云学术

The vendor-agnostic EMPAIA platform for integrating AI applications into digital pathology infrastructures

Published:2023-03 Issue: Volume:140 Page:209-224
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Jansen Christoph^ORCID,Lindequist Björn,Strohmenger Klaus,Romberg Daniel,Küster Tobias,Weiss Nick,Franz Michael,Schwen Lars Ole,Evans Theodore,Homeyer André,Zerbe Norman

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference56 articles.

1. Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the digital pathology association;Abels;J. Pathol.,2019

2. Artificial intelligence as the next step towards precision pathology;Acs;J. Internal Med.,2020

3. Introduction to digital image analysis in whole-slide imaging: a white paper from the digital pathology association;Aeffner;J. Pathol. Inform.,2019

4. Deep learning in cancer pathology: a new generation of clinical biomarkers;Echle;Br. J. Cancer,2020

5. Translational AI and deep learning in diagnostic pathology;Serag;Front. Med.,2019

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