Advanced Sensing and Image Processing Techniques for Healthcare Applications |
Autore | Abolghasemi Vahid |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (258 p.) |
Soggetto topico |
Information technology industries
Computer science |
Soggetto non controllato |
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 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910566486403321 |
Abolghasemi Vahid
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Intelligent Processing on Image and Optical Information |
Autore | Yeom Seokwon |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (324 p.) |
Soggetto topico | History of engineering & technology |
Soggetto non controllato |
change detection
NSCT variogram function structure similarity Dongting Lake ego-motion estimation hand-eye calibration IMU lidar odometry sensor fusion texture classification Gabor filter parameter optimization feature selection hybrid ant lion optimizer wireless multimedia sensor networks wildlife monitoring image extraction Hermite adaptive mean-shift biomedical imaging bone fracture calcaneus CT image segmentation zebrafish egg microscopy image processing convolutional neural network digital image correlation high-temperature measurement heat waves thermal disturbance background-oriented schlieren fermentation monitoring quality inspection process automation deep learning superellipsoid model fitting optical sensor multi-sensor face registration inner-distance Student's-t Mixtures Model image fusion continuous casting slabs surface defect classification discrete non-separable shearlet transform gray-level co-occurrence matrix kernel spectral regression block compressed sensing error resilience reconstruction image completion tensor decomposition models image interpolation image up-scaling numerical optimization ADAM machine learning stochastic gradient methods healthy and infected lemons Hyperspectral image Penicillium digitatum pathogen lemon skin dominant spectral wavelength spectral intensity ratio zebrafish larva microscopy image analysis deep neural network clustering evaluation clustering algorithm cluster validity index boundary point interior point radiographic image image processing feature extraction classifier defect detection generative models GAN (Generative adversarial networks) facial image generation database augmentation synthesis autofocus night vision goggles sparse and low-rank matrix decomposition |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557104903321 |
Yeom Seokwon
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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