A deep learning based experimental framework for automatic staging of pressure ulcers from thermal images

IF 3.7 3区 工程技术 Q1 INSTRUMENTS & INSTRUMENTATION
Bhaskar Pandey, Deepak Joshi, Ajat Shatru Arora
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引用次数: 0

Abstract

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...
基于深度学习的热图像压疮自动分期实验框架
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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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.
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