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
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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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
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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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
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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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
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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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
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MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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