Advanced Sensing and Image Processing Techniques for Healthcare Applications

• Autore: Abolghasemi Vahid
• Pubblicazione: Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
• Descrizione fisica: 1 online resource (258 p.)
• Soggetto topico: Computer science; Information technology industries
• Soggetto non controllato: 3D body shapes; absorption near infrared; age; anthropometry; arterial hypotension; artificial intelligence; ataxia; auditory discrimination therapy; BConvLSTM; bladder irrigation monitor; blind; body weights and measures; braille system; brain activity; brain tissue segmentation; bubble detection; cell mechanics; coherent plane-wave compounding (CPWC); complementary subset transmit (CST); convolutional neural network; convolutional neural networks; CT image; cycle constraint; decellularization; delay-and-sum (DAS); delay-multiply-and-sum (DMAS); denoising convolutional neural network; ECG; echo-planar imaging; EEG; EEG evaluation; elasticity measurement; EMG; essential tremor; event-related desynchronization; event-related synchronization; exercise; exercise habit; feature engineering; feature pyramid network; finger-nose-finger test; H&E; hemoglobin sensor; hypotension; image processing; image registration; invasive blood pressure; liver; lung; machine learning; magnetic resonance fingerprinting; magnetic resonance images; mechanical properties; multi-branch dense prediction; multi-branch output; multi-branch pooling; multi-scale feature learning; multimodal features; object detection; plane-wave (PW) imaging; postpartum period; power doppler detection; pregnancy period; ResNet-34; rigid alignment; robotic cell manipulation; segmentation; self-attention; self-supervision; semantic segmentation; signal coherence; T1 and T2* relaxation times; tinnitus; tissue engineering; tremor; U-Net; viscosity measurement; vital sign
• Persona (resp. second.): AnisiHossein; FerdowsiSaideh; AbolghasemiVahid
• Sommario/riassunto: 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.
• Titolo autorizzato: Advanced Sensing and Image Processing Techniques for Healthcare Applications
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910566486403321
• Lo trovi qui: Univ. Federico II