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Advanced Computational Methods for Oncological Image Analysis
Advanced Computational Methods for Oncological Image Analysis
Autore Rundo Leonardo
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (262 p.)
Soggetto topico Medicine
Soggetto non controllato melanoma detection
deep learning
transfer learning
ensemble classification
3D-CNN
immunotherapy
radiomics
self-attention
breast imaging
microwave imaging
image reconstruction
segmentation
unsupervised machine learning
k-means clustering
Kolmogorov-Smirnov hypothesis test
statistical inference
performance metrics
contrast source inversion
brain tumor segmentation
magnetic resonance imaging
survey
brain MRI image
tumor region
skull stripping
region growing
U-Net
BRATS dataset
incoherent imaging
clutter rejection
breast cancer detection
MRgFUS
proton resonance frequency shift
temperature variations
referenceless thermometry
RBF neural networks
interferometric optical fibers
breast cancer
risk assessment
machine learning
texture
mammography
medical imaging
imaging biomarkers
bone scintigraphy
prostate cancer
semisupervised classification
false positives reduction
computer-aided detection
breast mass
mass detection
mass segmentation
Mask R-CNN
dataset partition
brain tumor
classification
shallow machine learning
breast cancer diagnosis
Wisconsin Breast Cancer Dataset
feature selection
dimensionality reduction
principal component analysis
ensemble method
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557353503321
Rundo Leonardo  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Deep Learning in Medical Image Analysis
Deep Learning in Medical Image Analysis
Autore Zhang Yudong
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (458 p.)
Soggetto non controllato interpretable/explainable machine learning
image classification
image processing
machine learning models
white box
black box
cancer prediction
deep learning
multimodal learning
convolutional neural networks
autism
fMRI
texture analysis
melanoma
glcm matrix
machine learning
classifiers
explainability
explainable AI
XAI
medical imaging
diagnosis
ARMD
change detection
unsupervised learning
microwave breast imaging
image reconstruction
tumor detection
digital pathology
whole slide image processing
multiple instance learning
deep learning classification
HER2
medical images
transfer learning
optimizers
neo-adjuvant treatment
tumour cellularity
cancer
breast cancer
diagnostics
imaging
computation
artificial intelligence
3D segmentation
active surface
discriminant analysis
PET imaging
medical image analysis
brain tumor
cervical cancer
colon cancer
lung cancer
computer vision
musculoskeletal images
lung disease detection
taxonomy
convolutional neural network
CycleGAN
data augmentation
dermoscopic images
domain transfer
macroscopic images
skin lesion segmentation
infection detection
COVID-19
X-ray images
bayesian inference
shifted-scaled dirichlet distribution
MCMC
gibbs sampling
object detection
surgical tools
open surgery
egocentric camera
computers in medicine
segmentation
MRI
ECG signal detection
portable monitoring devices
1D-convolutional neural network
medical image segmentation
domain adaptation
meta-learning
U-Net
computed tomography (CT)
magnetic resonance imaging (MRI)
low-dose
sparse-angle
quantitative comparison
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557435103321
Zhang Yudong  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Sensor Signal and Information Processing III
Sensor Signal and Information Processing III
Autore Woo Wai Lok
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (394 p.)
Soggetto topico History of engineering & technology
Soggetto non controllato geometric calibration
long- and short-period errors
equivalent bias angles
sparse recovery
linear array push-broom sensor
deep learning
signal detection
modulation classification
the single shot multibox detector networks
the multi-inputs convolutional neural networks
medical image registration
similarity measure
non-rigid transformation
computational efficiency
registration accuracy
signal denoising
singular value decomposition
Akaike information criterion
reaction wheel
micro-vibration
permutation entropy (PE)
weighted-permutation entropy (W-PE)
reverse permutation entropy (RPE)
reverse dispersion entropy (RDE)
time series analysis
complexity
sensor signal
tensor principal component pursuit
stable recovery
tensor SVD
ADMM
kalman filter
nonlinear autoregressive
neural network
noise filtering
multiple-input multiple-output (MIMO)
frequency-hopping code
dual-function radar-communications
information embedding
mutual information (mi)
waveform optimization
spectroscopy
compressed sensing
inverse problems
dictionary learning
image registration
large deformation
weakly supervised
high-order cumulant
cyclic spectrum
decision tree-support vector machine
wind turbine
gearbox fault
cosine loss
long short-term memory network
indoor localization
CSI
fingerprinting
Bayesian tracking
image reconstruction
computed tomography
nonlocal total variation
sparse-view CT
low-dose CT
proximal splitting
row-action
brain CT image
audio signal processing
sound event classification
nonnegative matric factorization
blind signal separation
support vector machines
brain-computer interface
motor imagery
machine learning
internet of things
pianists
surface inspection
aluminum ingot
mask gradient response
Difference of Gaussian
inception-v3
EEG
sleep stage
wavelet packet
state space model
image captioning
three-dimensional (3D) vision
human-robot interaction
Laplacian scores
data reduction
sensors
Internet of Things (IoT)
LoRaWAN
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557693303321
Woo Wai Lok  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Ten Years of Remote Sensing at Barcelona Expert Center
Ten Years of Remote Sensing at Barcelona Expert Center
Autore Martínez Justino
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (292 p.)
Soggetto topico Research & information: general
Geography
Soggetto non controllato soil moisture
root zone
SMAP
SMOS
MODIS
climatology
trends
signal decomposition
interferometric radiometry
image reconstruction
error correction
surface currents
mediterranean sea
satellite altimetry
sea surface temperature
sea surface salinity
BEC SMOS products
Mediterranean Sea
Algerian Basin
ABACUS gliders
microwave remote sensing
CIMR
copernicus marine service
satellite observations
tidal currents
internal tides
data assimilation
4D-Var
Congo River plume
satellite salinity
Angola Basin
ROMS
moisture variability
temporal dynamics
moisture patterns
spatial disaggregation
Soil Moisture Active Passive (SMAP)
Soil Moisture and Ocean Salinity (SMOS)
REMEDHUS
L-band radiometry
Soil Moisture and Ocean Salinity (SMOS) mission
sea ice thickness
retrieval model validation
upward looking sonar
Arctic
altimetry
surface quasi-geostrophic equations
remote sensing
ocean color
data fusion
data merging
physical oceanography
singularity analysis
faraday rotation angle (FRA)
vertical total electron content (VTEC)
L-band
radiometry
Interferometry
ocean salinity (SMOS)
calibration
reprocessing
BEC
oceanography
cryosphere
processing
sensor calibration
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557298703321
Martínez Justino  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Ultrasound B-mode Imaging: Beamforming and Image Formation Techniques
Ultrasound B-mode Imaging: Beamforming and Image Formation Techniques
Autore Ramalli Alessandro
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (146 p.)
Soggetto non controllato signal-to-noise ratio (SNR)
multi-perspective ultrasound imaging
dictionary learning
common carotid artery
spatial resolution
contrast enhancement
sparse representation
PMUT linear array
K-singular value decomposition
time resolution
cardiac imaging
coded excitation
plane wave
beam pattern
grating lobe suppression
spatial coherence
subcutaneous fat layer
cylindrical scanning
parallel beam forming
microbubble
MR-visible fiducial marker
ultrasonic imaging
speckle reduction
multi-line transmission
MRI
adaptive beamforming
super-resolution
filtered-delay multiply and sum beamforming
B-mode imaging
medical ultrasound
intima-media complex longitudinal motion
synthetic aperture
quantitative parametrization
arterial wall motion
pth root
beam forming
medical image processing
crosstalk artifacts
ultrasound imaging
diverging wave
1-3 piezocomposite material
dynamic focusing
multi-line acquisition
image reconstruction
plane wave imaging
ultrasound
multi-line transmit
reconstruction
thyroid imaging
beamforming
ISBN 3-03921-200-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Ultrasound B-mode Imaging
Record Nr. UNINA-9910367756403321
Ramalli Alessandro  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui