Enhancing the thermographic diagnosis of maxillary sinusitis using deep learning approach

IF 3.7 3区 工程技术 Q1 INSTRUMENTS & INSTRUMENTATION Quantitative Infrared Thermography Journal Pub Date : 2024-05-30 DOI:10.1080/17686733.2024.2349976
Jaspreet Singh, Bhaskar Pandey, Sarvagya Karna, Ajat Shatru Arora, Ankur Kumar
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Abstract

Recent studies witnessed the potential benefits of using deep learning (DL) based approaches in drug discovery, disease diagnosis, treatment planning and many more applications. In addition to soft...
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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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