WoundArch: A Hybrid Architecture System for Segmentation and Classification of Chronic Wounds

Carlos Diego F. da Rocha, Bruno S. Silva, Vítor G. Marques, Bruno M. Carvalho

2021

Abstract

Every year, millions of people are affected by wounds worldwide. The wound treatment process is costly and requires the nurse to perform activities during patient care: tissue classification and calculation of the wound area. Thus, this work proposes to build a hybrid computer system with two configurations to support wound care. The first configuration uses a smartphone to perform the capture, segmentation and classification of the wound images. The other configuration has a client-server architecture, the images are captured and segmented in the application and sent, via the internet, to the web server, which is responsible for classifying the tissue of the wounds. The proposed methodology is the segmentation of images using the watershed algorithm and classification of tissues in Necrosis, Granulation or Crushing. fulfilled. To evaluate the application, experiments were performed with 20 images of wounds and the system was evaluated in two architectures: client and client-server. The results show that the client-server reached accelerations of up to 3.2 times in relation to the client-only architecture. The client-server architecture also saves energy and space in the client units, increasing the uptime of smartphones, in addition to reducing the storage load of the same.

Paper Citation

in Harvard Style

F. da Rocha C., Carvalho B., Marques V. and Silva B. (2021). WoundArch: A Hybrid Architecture System for Segmentation and Classification of Chronic Wounds. In Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - Volume 5: HEALTHINF; ISBN 978-989-758-490-9, SciTePress, pages 651-658. DOI: 10.5220/0010341406510658

in Bibtex Style

@conference{healthinf21,
author={Carlos Diego F. da Rocha and Bruno S. Carvalho and Vítor G. Marques and Bruno M. Silva},
title={WoundArch: A Hybrid Architecture System for Segmentation and Classification of Chronic Wounds},
booktitle={Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - Volume 5: HEALTHINF},
year={2021},
pages={651-658},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010341406510658},
isbn={978-989-758-490-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - Volume 5: HEALTHINF
TI - WoundArch: A Hybrid Architecture System for Segmentation and Classification of Chronic Wounds
SN - 978-989-758-490-9
AU - F. da Rocha C.
AU - Carvalho B.
AU - Marques V.
AU - Silva B.
PY - 2021
SP - 651
EP - 658
DO - 10.5220/0010341406510658
PB - SciTePress