top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
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
Microwave Imaging and Electromagnetic Inverse Scattering Problems
Microwave Imaging and Electromagnetic Inverse Scattering Problems
Autore Di Donato Loreto
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 online resource (170 p.)
Soggetto topico History of engineering and technology
Soggetto non controllato 3D
5G communication
adjoint inversion methods
antenna array
antenna testing
array diagnosis
Bayesian compressive sensing (BCS)
breast cancer
breast imaging
compressed sensing
contraction integral equation for inversion (CIE-I)
contrast source inversion (CSI)
contrast-source inversion
discontinuous Galerkin method (DGM)
electrical-property tomography
electromagnetic inverse scattering
electromagnetic inverse scattering problems
finite-difference methods
image-based approach
imaging
inverse obstacles problem
inverse problems
inverse scattering
inverse source problem
joint sparsity
Kolmogorov-Smirnov (K-S) test
linear sampling method
magnetic resonance imaging
microwave imaging
microwave imaging profilometry
microwave plasma diagnostics
near-field measurements
nonlinear optimization
nonlinear problem
orthogonality sampling method
radar-based breast imaging
rank minimization
RCS estimation
stopping criteria
tomography
ISBN 3-03921-951-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910674007403321
Di Donato Loreto  
MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui