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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
Opac: Controlla la disponibilità qui
Application of Bioinformatics in Cancers
Application of Bioinformatics in Cancers
Autore Brenner J. Chad
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (418 p.)
Soggetto non controllato cancer treatment
extreme learning
independent prognostic power
AID/APOBEC
HP
gene inactivation biomarkers
biomarker discovery
chemotherapy
artificial intelligence
epigenetics
comorbidity score
denoising autoencoders
protein
single-biomarkers
gene signature extraction
high-throughput analysis
concatenated deep feature
feature selection
differential gene expression analysis
colorectal cancer
ovarian cancer
multiple-biomarkers
gefitinib
cancer biomarkers
classification
cancer biomarker
mutation
hierarchical clustering analysis
HNSCC
cell-free DNA
network analysis
drug resistance
hTERT
variable selection
KRAS mutation
single-cell sequencing
network target
skin cutaneous melanoma
telomeres
Neoantigen Prediction
datasets
clinical/environmental factors
StAR
PD-L1
miRNA
circulating tumor DNA (ctDNA)
false discovery rate
predictive model
Computational Immunology
brain metastases
observed survival interval
next generation sequencing
brain
machine learning
cancer prognosis
copy number aberration
mutable motif
steroidogenic enzymes
tumor
mortality
tumor microenvironment
somatic mutation
transcriptional signatures
omics profiles
mitochondrial metabolism
Bufadienolide-like chemicals
cancer-related pathways
intratumor heterogeneity
estrogen
locoregionally advanced
RNA
feature extraction and interpretation
treatment de-escalation
activation induced deaminase
knockoffs
R package
copy number variation
gene loss biomarkers
cancer CRISPR
overall survival
histopathological imaging
self-organizing map
Network Analysis
oral cancer
biostatistics
firehose
Bioinformatics tool
alternative splicing
biomarkers
diseases genes
histopathological imaging features
imaging
TCGA
decision support systems
The Cancer Genome Atlas
molecular subtypes
molecular mechanism
omics
curative surgery
network pharmacology
methylation
bioinformatics
neurological disorders
precision medicine
cancer modeling
miRNAs
breast cancer detection
functional analysis
biomarker signature
anti-cancer
hormone sensitive cancers
deep learning
DNA sequence profile
pancreatic cancer
telomerase
Monte Carlo
mixture of normal distributions
survival analysis
tumor infiltrating lymphocytes
curation
pathophysiology
GEO DataSets
head and neck cancer
gene expression analysis
erlotinib
meta-analysis
traditional Chinese medicine
breast cancer
TCGA mining
breast cancer prognosis
microarray
DNA
interaction
health strengthening herb
cancer
genomic instability
ISBN 3-03921-789-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367743403321
Brenner J. Chad  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
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 electronic resource (240 p.)
Soggetto non controllato glucose-dependent dielectric properties
bioradar
dielectric measurements
dielectric spectroscopy
snare
RF sensing
microwave breast imaging
stress detection
microwave resonators
dielectric properties
equipment-related confounders
EMR
monitoring
phantom
tissue-related confounders
microwave imaging
automated breast diagnosis
breast cancer detection
dielectric characterization
blood glucose levels
breast cancer diagnosis
numerical calculation
breast phantoms
tomography
image-guided
on-site validation
microwave tomography
microwave
non-invasive measurement
on-body antennas
psychophysiological state monitoring
thermal ablation
microwave ablation
biological tissues
breast cancer
open-ended coaxial probe
brain stroke monitoring
machine learning
patient study
UWB diagnostics
reconstruction
medical radar
unobtrusive monitoring
medical imaging
microwave spectroscopy
UWB breast and head phantoms
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