This paper is in the following e-collection/theme issue:

Non-randomized Protocols and Methods (ehealth) (568) Imaging Informatics (193) Machine Learning (1465)

Published on in Vol 9, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16843, first published .
Deep Learning Frameworks for Rapid Gram Stain Image Data Interpretation: Protocol for a Retrospective Data Analysis

Deep Learning Frameworks for Rapid Gram Stain Image Data Interpretation: Protocol for a Retrospective Data Analysis

Deep Learning Frameworks for Rapid Gram Stain Image Data Interpretation: Protocol for a Retrospective Data Analysis

Authors of this article:

Hee Kim1 Author Orcid Image ;   Thomas Ganslandt1 Author Orcid Image ;   Thomas Miethke2 Author Orcid Image ;   Michael Neumaier3 Author Orcid Image ;   Maximilian Kittel3 Author Orcid Image
Article Authors Cited by (11) Tweetations (2) Metrics

Hee Kim   1 , MSc ;   Thomas Ganslandt   1 , Prof Dr med ;   Thomas Miethke   2 , Prof Dr med ;   Michael Neumaier   3 , Prof Dr med ;   Maximilian Kittel   3 , MD

1 Heinrich-Lanz-Center for Digital Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany

2 Institute of Medical Microbiology and Hygiene, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany

3 Institute for Clinical Chemistry, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany

Corresponding Author: