基于深度学习的热图像压疮自动分期实验框架

IF 3.7 3区 工程技术 Q1 INSTRUMENTS & INSTRUMENTATION Quantitative Infrared Thermography Journal Pub Date : 2024-08-16 DOI:10.1080/17686733.2024.2390719
Bhaskar Pandey, Deepak Joshi, Ajat Shatru Arora
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引用次数: 0

摘要

压疮可能危及生命,准确的分期对正确治疗至关重要。人工检测溃疡和分期的方法比较主观,容易出错。由于伤口的温度和...
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A deep learning based experimental framework for automatic staging of pressure ulcers from thermal images
Pressure ulcers can be life-threatening, and accurate staging is crucial for proper treatment. Manual methods for ulcer detection and staging are subjective and prone to errors. Since the wound tem...
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来源期刊
Quantitative Infrared Thermography Journal
Quantitative Infrared Thermography Journal Physics and Astronomy-Instrumentation
CiteScore
6.80
自引率
12.00%
发文量
17
审稿时长
>12 weeks
期刊介绍: The Quantitative InfraRed Thermography Journal (QIRT) provides a forum for industry and academia to discuss the latest developments of instrumentation, theoretical and experimental practices, data reduction, and image processing related to infrared thermography.
期刊最新文献
Automatic segmentation of microporous defects in composite film materials based on the improved attention U-Net module A deep learning based experimental framework for automatic staging of pressure ulcers from thermal images Enhancing the thermographic diagnosis of maxillary sinusitis using deep learning approach Review of unmanned aerial vehicle infrared thermography (UAV-IRT) applications in building thermal performance: towards the thermal performance evaluation of building envelope Evaluation of typical rail defects by induction thermography: experimental results and procedure for data analysis during high-speed laboratory testing
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