Advanced Sensing and Image Processing Techniques for Healthcare Applications

• Eará dahkkit: Abolghasemi, Vahid (Doaimmaheaddji), Anisi, Hossein (Doaimmaheaddji), Ferdowsi, Saideh (Doaimmaheaddji)
• Materiálatiipa: Elektrovnnalaš Girjji oassi
• Giella: eaŋgalasgiella
• Almmustuhtton: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Fáttát: Information technology industries; Computer science; tremor; essential tremor; ataxia; finger-nose-finger test; H&E; decellularization; liver; tissue engineering; semantic segmentation; convolutional neural networks; segmentation; lung; CT image; U-Net; ResNet-34; BConvLSTM; magnetic resonance images; brain tissue segmentation; multi-scale feature learning; multi-branch pooling; multi-branch dense prediction; multi-branch output; delay-and-sum (DAS); delay-multiply-and-sum (DMAS); signal coherence; power doppler detection; plane-wave (PW) imaging; complementary subset transmit (CST); coherent plane-wave compounding (CPWC); robotic cell manipulation; mechanical properties; elasticity measurement; viscosity measurement; cell mechanics; hemoglobin sensor; bladder irrigation monitor; absorption near infrared; artificial intelligence; bubble detection; exercise; EEG; EMG; ECG; brain activity; age; exercise habit; tinnitus; auditory discrimination therapy; EEG evaluation; event-related synchronization; event-related desynchronization; convolutional neural network; image registration; cycle constraint; multimodal features; self-supervision; rigid alignment; magnetic resonance fingerprinting; echo-planar imaging; T1 and T2* relaxation times; denoising convolutional neural network; self-attention; feature pyramid network; image processing; object detection; blind; braille system; 3D body shapes; body weights and measures; postpartum period; pregnancy period; anthropometry; machine learning; vital sign; invasive blood pressure; feature engineering; hypotension; arterial hypotension
• Liŋkkat: DOAB: download the publication; DOAB: description of the publication

Čoahkkáigeassu

This Special Issue aims to attract the latest research and findings in the design, development and experimentation of healthcare-related technologies. This includes, but is not limited to, using novel sensing, imaging, data processing, machine learning, and artificially intelligent devices and algorithms to assist/monitor the elderly, patients, and the disabled population.

Olgguldas hápmi

1 electronic resource (258 p.)

ISBN

books978-3-0365-4031-3
9783036540320
9783036540313

Beassan

Open Access