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

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1072) Artificial Intelligence (720) mHealth for Data Collection and Research (703) mHealth for Diagnosis (31) mHealth for Telemedicine and Homecare (266) mHealth in a Clinical Setting (500)

Published on in Vol 10 , No 4 (2022) :April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36977, first published .
Fully Automated Wound Tissue Segmentation Using Deep Learning on Mobile Devices: Cohort Study

Fully Automated Wound Tissue Segmentation Using Deep Learning on Mobile Devices: Cohort Study

Fully Automated Wound Tissue Segmentation Using Deep Learning on Mobile Devices: Cohort Study

Authors of this article:

Dhanesh Ramachandram 1 Author Orcid Image ;   Jose Luis Ramirez-GarciaLuna 1 Author Orcid Image ;   Robert D J Fraser 1 Author Orcid Image ;   Mario Aurelio Martínez-Jiménez 2 Author Orcid Image ;   Jesus E Arriaga-Caballero 2 Author Orcid Image ;   Justin Allport 1 Author Orcid Image
Article Authors Cited by (8) Tweetations (5) Metrics

Dhanesh Ramachandram   1 , PhD ;   Jose Luis Ramirez-GarciaLuna   1 * , MD, PhD ;   Robert D J Fraser   1 * , MN, RN ;   Mario Aurelio Martínez-Jiménez   2 , MD, PhD ;   Jesus E Arriaga-Caballero   2 , MD ;   Justin Allport   1 , BEng

1 Swift Medical Inc, Toronto, ON, CA

2 Department of Surgery, Universidad Autonoma de San Luis Potosi, San Luis Potosi, MX

*these authors contributed equally

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