Non-contact chronic wound analysis using deep learning-Reference-Cited by-同舟云学术

Non-contact chronic wound analysis using deep learning

Published:2021-11-19 Issue: Volume: Page:
ISSN:
Container-title:2021 13th Biomedical Engineering International Conference (BMEiCON)
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Author:

Chairat Sawrawit¹,Dissaneewate Tulaya²,Wangkulangkul Piyanun³,Kongpanichakul Laliphat⁴,Chaichulee Sitthichok¹

Affiliation:

1. Prince of Songkla University,Faculty of Medicine,Department of Biomedical Sciences and Biomedical Engineering,Songkhla,Thailand

2. Prince of Songkla University,Faculty of Medicine,Department of Rehabilitation Medicine,Songkhla,Thailand

3. Faculty of Medicine, Prince of Songkla University,Division of General Surgery,Department of Surgery,Songkhla,Thailand

4. Prince of Songkla University,Division of Plastic Surgery, Faculty of Medicine,Department of Surgery,Songkhla,Thailand

Publisher

IEEE

Link

Reference15 articles.

1. U-Net: Convolutional Networks for Biomedical Image Segmentation;ronneberger;IEEE Access,2015

5. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks;tan;International Conference on Machine Learning 2019,2019

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2. Tech-Wrapped Recovery: Exploring the world of Band-Aid 2.0;2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES);2023-12-14

3. RGB-D Camera-Based Automatic Wound-Measurement System;IEEE Transactions on Instrumentation and Measurement;2023