A Robust, Fully Automatic Detection Method and Calculation Technique of Midline Shift in Intracranial Hemorrhage and Its Clinical Application [PDF]
Diagnostics, 2022 A midline shift (MLS) is an important clinical indicator for intracranial hemorrhage. In this study, we proposed a robust, fully automatic neural network-based model for the detection of MLS and compared it with MLSs drawn by clinicians; we also ...
Jiun-Lin Yan +9 more
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An Automatic Method for Interest Point Detection
Известия высших учебных заведений России: Радиоэлектроника, 2020 Introduction. Computer vision systems are finding widespread application in various life domains. Monocularcamera based systems can be used to solve a wide range of problems.
I. G. Zubov
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Method for automatic detection of wheezing in lung sounds [PDF]
Brazilian Journal of Medical and Biological Research, 2009 The present report describes the development of a technique for automatic wheezing recognition in digitally recorded lung sounds. This method is based on the extraction and processing of spectral information from the respiratory cycle and the use of ...
R.J. Riella, P. Nohama, J.M. Maia
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Epilepsy detection based on spatiotemporal feature interaction fusion of EEG signals [PDF]
Frontiers in NeurologyObjectiveIn recent years, with the development of machine learning and deep learning technologies, an increasing number of research works have begun using these technologies for automatic seizure detection in EEG signals.
Zhencai Xu +3 more
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AUTOMATED REFLECTANCE TARGET DETECTION FOR AUTOMATED VICARIOUS RADIOMETRIC CORRECTION OF UAV IMAGES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021 Recently, with increasing use of unmanned aerial vehicle (UAV), radiometric calibration of UAV images has become an important pre-processing step for application such as vegetation mapping, crop field monitoring, etc. In order to obtain accurate spectral
S. Ban, T. Kim, T. Kim
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Automatic Detection of VLF Tweek Signals Based on the YOLO Model
Remote Sensing, 2023 Tweek signals are a special type of VLF (very low frequency) pulse, originally produced by lightning discharge, which becomes dispersive after repetitive bounces within the waveguide between the Earth’s surface and lower ionosphere.
Wei Xu +8 more
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Liang you shipin ke-ji, 2022 The traditional potassium permanganate consumption (COD) test method is the detection method which has been widely used for many years. It has been applied to the detection of food contact materials and its products because it has some advantages, such ...
XIA Ming-de, WEI Cun-qian, LIU Jun
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An algorithm for indentation image classification and detection based on deep learning
Measurement: Sensors, 2021 In the measurement of hardness value, indentation is the key to obtain the hardness value. Traditional manual detection of indentation is inefficient, time-consuming and low accuracy.
Chen Shilin, Shi Wei
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Automatic Fabric Defect Detection Method Using PRAN-Net
Applied Sciences, 2020 Fabric defect detection is very important in the textile quality process. Current deep learning algorithms are not effective in detecting tiny and extreme aspect ratio fabric defects.
Peiran Peng +5 more
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Automatic eye blink artifact removal for EEG based on a sparse coding technique for assessing major mental disorders [PDF]
Journal of Integrative Neuroscience, 2019 In the electroencephalogram recorded data are often confounded with artifacts, especially in the case of eye blinks. Different methods for artifact detection and removal are discussed in the literature, including automatic detection and removal. Here, an
Raheel Zafar, Abdul Qayyum, Wajid Mumtaz
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