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[HTML][HTML] Computer-aided diagnosis methods for high-frequency ultrasound data analysis: a review
J Czajkowska, M Borak - Sensors, 2022 - mdpi.com
Over the last few decades, computer-aided diagnosis systems have become a part of clinical
practice. They have the potential to assist clinicians in daily diagnostic tasks. The image …
practice. They have the potential to assist clinicians in daily diagnostic tasks. The image …
[PDF][PDF] Sieci nski
To drive safely, the driver must be aware of the surroundings, pay attention to the road traffic,
and be ready to adapt to new circumstances. Most studies on driving safety focus on …
and be ready to adapt to new circumstances. Most studies on driving safety focus on …
Sensor-based classification of primary and secondary car driver activities using convolutional neural networks
To drive safely, the driver must be aware of the surroundings, pay attention to the road traffic,
and be ready to adapt to new circumstances. Most studies on driving safety focus on …
and be ready to adapt to new circumstances. Most studies on driving safety focus on …
[HTML][HTML] High-frequency ultrasound dataset for deep learning-based image quality assessment
This study aims at high-frequency ultrasound image quality assessment for computer-aided
diagnosis of skin. In recent decades, high-frequency ultrasound imaging opened up new …
diagnosis of skin. In recent decades, high-frequency ultrasound imaging opened up new …
[HTML][HTML] Classification of roads and types of public roads using EOG smart glasses and an algorithm based on machine learning while driving a car
Driving a car is an activity that became necessary for exploration, even when living in the
present world. Research exploring the topic of safety on the roads has therefore become …
present world. Research exploring the topic of safety on the roads has therefore become …
[HTML][HTML] The detection of alcohol intoxication using electrooculography signals from smart glasses and machine learning techniques
The operation of a motor vehicle under the influence of alcohol poses a significant risk to the
safety of the driver, passengers, and other road users. Electrooculographic (EOG) signal …
safety of the driver, passengers, and other road users. Electrooculographic (EOG) signal …
[HTML][HTML] Recognition of drivers' activity based on 1D convolutional neural network
Background and objective: Driving a car is a complex activity which involves movements of
the whole body. Many studies on drivers' behavior are conducted to improve road traffic …
the whole body. Many studies on drivers' behavior are conducted to improve road traffic …
Multimodal signal analysis for pain recognition in physiotherapy using wavelet scattering transform
Fascial therapy is an effective, yet painful, procedure. Information about pain level is
essential for the physiotherapist to adjust the therapy course and avoid potential tissue …
essential for the physiotherapist to adjust the therapy course and avoid potential tissue …
Spatial analysis of histology in 3D: quantification and visualization of organ and tumor level tissue environment
Histological changes in tissue are of primary importance in pathological research and
diagnosis. Automated histological analysis requires ability to computationally separate …
diagnosis. Automated histological analysis requires ability to computationally separate …
Evaluation of Intoxication Level with EOG Analysis and Machine Learning: A Study on Driving Simulator*
Driving after consuming alcohol can be dangerous, as it negatively affects judgement,
reaction time, coordination, and decision-making abilities, increasing the risk of accidents …
reaction time, coordination, and decision-making abilities, increasing the risk of accidents …