ReviewSensors (Basel, Switzerland)2021
Machine Learning Techniques for THz Imaging and Time-Domain Spectroscopy.
Review in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Defect Recognition in Composite Materials Using Terahertz Spectral Imaging with ResNet18-SVM Approach.Materials (Basel, Switzerland) · 2025Article
- Physics-assisted machine learning for THz time-domain spectroscopy: sensing leaf wetness.Scientific reports · 2024Article
- Recent Advances in THz Detection of Water.International journal of molecular sciences · 2023Review
- Advances in terahertz technology for cancer detection applications.Optical and quantum electronics · 2023Review
- Pretreatment to terahertz absorption curves by narrow undulation constraint and Its quick implementation suggested by convex hull.Scientific reports · 2022Article
- A General Neural Network Model for Complex Refractive Index Extraction of Low-Loss Materials in the Transmission-Mode THz-TDS.Sensors (Basel, Switzerland) · 2022Article
- THz-ATR Spectroscopy Integrated with Species Recognition Based on Multi-Classifier Voting for Automated Clinical Microbial Identification.Biosensors · 2022Article
- Deep neural network classification of in vivo burn injuries with different etiologies using terahertz time-domain spectral imaging.Biomedical optics express · 2022Article
- Fast FMCW Terahertz Imaging for In-Process Defect Detection in Press Sleeves for the Paper Industry and Image Evaluation with a Machine Learning Approach.Sensors (Basel, Switzerland) · 2021Article
- Terahertz Imaging for Breast Cancer Detection.Sensors (Basel, Switzerland) · 2021Review
- Roadmap of Terahertz Imaging 2021.Sensors (Basel, Switzerland) · 2021Review
- Wind-Induced Pressure Prediction on Tall Buildings Using Generative Adversarial Imputation Network.Sensors (Basel, Switzerland) · 2021Article
- Non-destructive Detection of Insect Foreign Bodies in Finishing Tea Product Based on Terahertz Spectrum and Image.Frontiers in nutrition · 2021Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Terahertz imaging and time-domain spectroscopy have been widely used to characterize the properties of test samples in various biomedical and engineering fields. Many of these tasks require the analysis of acquired terahertz signals to extract embedded information, which can be achieved using machine learning. Recently, machine learning techniques have developed rapidly, and many new learning models and learning algorithms have been investigated. Therefore, combined with state-of-the-art machine learning techniques, terahertz applications can be performed with high performance that cannot be achieved using modeling techniques that precede the machine learning era. In this review, we introduce the concept of machine learning and basic machine learning techniques and examine the methods for performance evaluation. We then summarize representative examples of terahertz imaging and time-domain spectroscopy that are conducted using machine learning.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.