Automatic Wound Type Classification with Convolutional Neural Networks

Malihi L, Hüsers J, Richter ML, Moelleken M, Przysucha M, Busch D, Heggemann J, Hafer G, Wiemeyer S, Heidemann G, Dissemond J, Erfurt-Berge C, Hübner U (2022)

Publication Type: Book chapter / Article in edited volumes

Publication year: 2022

Publisher: IOS Press

Edited Volumes: Advances in Informatics, Management and Technology in Healthcare

Series: Studies in Health Technology and Informatics

Book Volume: 295

Pages Range: 281-284

ISBN: 978-1-64368-291-4

DOI: 10.3233/SHTI220717

Abstract

Chronic wounds are ulcerations of the skin that fail to heal because of an underlying condition such as diabetes mellitus or venous insufficiency. The timely identification of this condition is crucial for healing. However, this identification requires expert knowledge unavailable in some care situations. Here, artificial intelligence technology may support clinicians. In this study, we explore the performance of a deep convolutional neural network to classify diabetic foot and venous leg ulcers using wound images. We trained a convolutional neural network on 863 cropped wound images. Using a hold-out test set with 80 images, the model yielded an F1-score of 0.85 on the cropped and 0.70 on the full images. This study shows promising results. However, the model must be extended in terms of wound images and wound types for application in clinical practice.

Authors with CRIS profile

Dorothee Busch Department of Dermatology Cornelia Erfurt-Berge Department of Dermatology

Involved external institutions

Universität Osnabrück DE Germany (DE) Universitätsklinikum Essen DE Germany (DE) Niels-Stensen-Kliniken GmbH DE Germany (DE)

How to cite

APA:

Malihi, L., Hüsers, J., Richter, M.L., Moelleken, M., Przysucha, M., Busch, D.,... Hübner, U. (2022). Automatic Wound Type Classification with Convolutional Neural Networks. In John Mantas, Parisis Gallos, Emmanouil Zoulias, Arie Hasman, Mowafa S. Househ, Marianna Diomidous, Joseph Liaskos, Martha Charalampidou (Eds.), Advances in Informatics, Management and Technology in Healthcare. (pp. 281-284). IOS Press.

MLA:

Malihi, Leila, et al. "Automatic Wound Type Classification with Convolutional Neural Networks." Advances in Informatics, Management and Technology in Healthcare. Ed. John Mantas, Parisis Gallos, Emmanouil Zoulias, Arie Hasman, Mowafa S. Househ, Marianna Diomidous, Joseph Liaskos, Martha Charalampidou, IOS Press, 2022. 281-284.

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