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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 online resource (262 p.)
Soggetto topico Medicine and Nursing
Soggetto non controllato 3D-CNN
bone scintigraphy
brain MRI image
brain tumor
brain tumor segmentation
BRATS dataset
breast cancer
breast cancer detection
breast cancer diagnosis
breast imaging
breast mass
classification
clutter rejection
computer-aided detection
contrast source inversion
dataset partition
deep learning
dimensionality reduction
ensemble classification
ensemble method
false positives reduction
feature selection
image reconstruction
imaging biomarkers
immunotherapy
incoherent imaging
interferometric optical fibers
k-means clustering
Kolmogorov-Smirnov hypothesis test
machine learning
magnetic resonance imaging
mammography
Mask R-CNN
mass detection
mass segmentation
medical imaging
melanoma detection
microwave imaging
MRgFUS
n/a
performance metrics
principal component analysis
prostate cancer
proton resonance frequency shift
radiomics
RBF neural networks
referenceless thermometry
region growing
risk assessment
segmentation
self-attention
semisupervised classification
shallow machine learning
skull stripping
statistical inference
survey
temperature variations
texture
transfer learning
tumor region
U-Net
unsupervised machine learning
Wisconsin Breast Cancer Dataset
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
Opac: Controlla la disponibilità qui
Data Science in Healthcare
Data Science in Healthcare
Autore Hulsen Tim
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (212 p.)
Soggetto topico Medicine and Nursing
Pharmacology
Soggetto non controllato apache spark
Arabic language
arteriovenous fistula
artificial intelligence
big data
breast cancer diagnosis
case fatality rate
chronic kidney disease (CKD)
computed tomography
coronavirus
COVID-19
cross-validation
data exploratory techniques
data management
data science
data sharing
depression
dialysis
digital technology
distributed computing
early-warning model
end stage kidney disease
end-stage kidney disease (ESKD)
genetic algorithm
hand-foot-and-mouth disease
healthcare
kidney failure
kidney replacement therapy (KRT)
machine learning
machine learning models
mental health
metabolic syndrome
metabolically healthy obese phenotype
n/a
naïve Bayes classifiers
neural network
non-specialist health worker
obesity
outbreak prediction
pilot study
pneumonia
precision medicine
primary care
psychological treatment
risk prediction
SARS-CoV-2
sentinel surveillance system
smart cities
smart governance
smart healthcare
smoking
social distancing
social media
task sharing
thoracic pain
training
tree classification
Triple Bottom Line (TBL)
tumors classification
Twitter
vascular access surveillance
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910576885103321
Hulsen Tim  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Electromagnetic Technologies for Medical Diagnostics. Fundamental Issues, Clinical Applications and Perspectives
Electromagnetic Technologies for Medical Diagnostics. Fundamental Issues, Clinical Applications and Perspectives
Autore Crocco Lorenzo
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 online resource (240 p.)
Soggetto topico History of engineering and technology
Soggetto non controllato automated breast diagnosis
biological tissues
bioradar
blood glucose levels
brain stroke monitoring
breast cancer
breast cancer detection
breast cancer diagnosis
breast phantoms
dielectric characterization
dielectric measurements
dielectric properties
dielectric spectroscopy
EMR
equipment-related confounders
glucose-dependent dielectric properties
image-guided
machine learning
medical imaging
medical radar
microwave
microwave ablation
microwave breast imaging
microwave imaging
microwave resonators
microwave spectroscopy
microwave tomography
monitoring
non-invasive measurement
numerical calculation
on-body antennas
on-site validation
open-ended coaxial probe
patient study
phantom
psychophysiological state monitoring
reconstruction
RF sensing
snare
stress detection
thermal ablation
tissue-related confounders
tomography
unobtrusive monitoring
UWB breast and head phantoms
UWB diagnostics
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910346687003321
Crocco Lorenzo  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui