A System for Wound Evaluation Support Using Depth and Image Sensors

التفاصيل البيبلوغرافية
العنوان: A System for Wound Evaluation Support Using Depth and Image Sensors
المؤلفون: Ryotaro Watanabe, Keisuke Shima, Taiki Horiuchi, Takeshi Shimizu, Takayuki Mukaeda, Koji Shimatani
المصدر: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2021
سنة النشر: 2021
مصطلحات موضوعية: Image Processing, Computer-Assisted, Neural Networks, Computer
الوصف: This paper proposes an evaluation/treatment sup-port system enabling automatic determination of wound evaluation indices from RGB-depth images and fully convolutional networks (FCNs). Segmentation experiments based on wound images and surface area determination experiments based on artificial images showed reduced errors and smaller parameters/higher levels of tissue classification than with previous approaches (proposed: 65.8 %; conventional: 60.2 %), thereby demonstrating the effectiveness of the technique.
تدمد: 2694-0604
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c75e58f1364be9cf68c8735162aa3f17Test
https://pubmed.ncbi.nlm.nih.gov/34892042Test
حقوق: CLOSED
رقم الانضمام: edsair.doi.dedup.....c75e58f1364be9cf68c8735162aa3f17
قاعدة البيانات: OpenAIRE