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

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1152) Artificial Intelligence (912) mHealth for Data Collection and Research (771) mHealth for Diagnosis (36) mHealth for Telemedicine and Homecare (295) mHealth in a Clinical Setting (522)

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 (12) Tweetations (5) Metrics

Journals

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  5. Solte D, Storck M. Künstliche Intelligenz in der Therapie chronischer Wunden – Konzepte und Ausblick. Gefässchirurgie 2023;28(1):24 View
  6. Chairat S, Chaichulee S, Dissaneewate T, Wangkulangkul P, Kongpanichakul L. AI-Assisted Assessment of Wound Tissue with Automatic Color and Measurement Calibration on Images Taken with a Smartphone. Healthcare 2023;11(2):273 View
  7. Sollte D, Storck M. Auf das Training kommt es an. ProCare 2023;28(3):18 View
  8. Kairys A, Pauliukiene R, Raudonis V, Ceponis J. Towards Home-Based Diabetic Foot Ulcer Monitoring: A Systematic Review. Sensors 2023;23(7):3618 View
  9. Ramirez-GarciaLuna J, Martinez-Jimenez M, Fraser R, Bartlett R, Lorincz A, Liu Z, Saiko G, Berry G. Is my wound infected? A study on the use of hyperspectral imaging to assess wound infection. Frontiers in Medicine 2023;10 View
  10. Fergus P, Chalmers C, Henderson W, Roberts D, Waraich A. Pressure Ulcer Categorization and Reporting in Domiciliary Settings Using Deep Learning and Mobile Devices: A Clinical Trial to Evaluate End-to-End Performance. IEEE Access 2023;11:65138 View
  11. Le D, Pham T. Unveiling the role of artificial intelligence for wound assessment and wound healing prediction. Exploration of Medicine 2023:589 View
  12. Malik H, Idris A, Toha S, Idris I, Daud M, Tokhi M. Deploying Patch-Based Segmentation Pipeline for Fibroblast Cell Images at Varying Magnifications. IEEE Access 2023;11:98171 View