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Advanced Sensing and Image Processing Techniques for Healthcare Applications

Advanced Sensing and Image Processing Techniques for Healthcare Applications

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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.

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Keywords

  • 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)
  • Computer science
  • Computing & information technology
  • 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
  • Economics, finance, business & management
  • 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
  • Industry & industrial studies
  • Information technology industries
  • invasive blood pressure
  • Liver
  • Lung
  • Machine learning
  • magnetic resonance fingerprinting
  • magnetic resonance images
  • Mechanical properties
  • Media, information & communication industries
  • 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

Links

DOI: 10.3390/books978-3-0365-4031-3

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