An ingenious deep learning approach for pressure injury depth evaluation with limited data-Reference-Cited by-同舟云学术

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An ingenious deep learning approach for pressure injury depth evaluation with limited data

Published:2024-08 Issue:3 Volume:33 Page:387-392
ISSN:0965-206X
Container-title:Journal of Tissue Viability
language:en
Short-container-title:Journal of Tissue Viability

Author:

Ikuta Kento^ORCID,Fukuoka Kohei^ORCID,Kimura Yuka,Nakagaki Makoto,Ohga Makoto,Suyama Yoshiko^ORCID,Morita Maki,Umeda Ryunosuke,Konishi Mamoru,Nishikawa Hiroyuki,Yagi Shunjiro

Publisher

Elsevier BV

Reference10 articles.

1. Deep learning applications in surgery: current uses and future directions;Morris;Am Surg,2023

2. Medical image analysis using convolutional neural networks: a review;Anwar;J Med Syst,2018

3. Visual classification of pressure injury stages for nurses: a deep learning model applying modern convolutional neural networks;Seo;J Adv Nurs,2023

4. Deep transfer learning-based visual classification of pressure injuries stages;Ay;Neural Comput Appl,2022

5. Clinical wound assessment using DESIGN-R total score can predict pressure ulcer healing: pooled analysis from two multicenter cohort studies;Sanada;Wound Repair Regen,2011

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