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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
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Sensing and Image Processing Techniques for Healthcare Applications
| Advanced Sensing and Image Processing Techniques for Healthcare Applications |
| Autore | Abolghasemi Vahid |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (258 p.) |
| Soggetto topico |
Computer science
Information technology industries |
| Soggetto non controllato |
3D body shapes
absorption near infrared age anthropometry arterial hypotension artificial intelligence ataxia auditory discrimination therapy BConvLSTM bladder irrigation monitor blind body weights and measures braille system brain activity brain tissue segmentation bubble detection cell mechanics coherent plane-wave compounding (CPWC) complementary subset transmit (CST) convolutional neural network convolutional neural networks CT image cycle constraint decellularization delay-and-sum (DAS) delay-multiply-and-sum (DMAS) denoising convolutional neural network ECG echo-planar imaging EEG EEG evaluation elasticity measurement EMG essential tremor event-related desynchronization event-related synchronization exercise exercise habit feature engineering feature pyramid network finger-nose-finger test H&E hemoglobin sensor hypotension image processing image registration invasive blood pressure liver lung machine learning magnetic resonance fingerprinting magnetic resonance images mechanical properties multi-branch dense prediction multi-branch output multi-branch pooling multi-scale feature learning multimodal features object detection plane-wave (PW) imaging postpartum period power doppler detection pregnancy period ResNet-34 rigid alignment robotic cell manipulation segmentation self-attention self-supervision semantic segmentation signal coherence T1 and T2* relaxation times tinnitus tissue engineering tremor U-Net viscosity measurement vital sign |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566486403321 |
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Abolghasemi Vahid
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Health and Public Health Applications for Decision Support Using Machine Learning
| Health and Public Health Applications for Decision Support Using Machine Learning |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2023 |
| Descrizione fisica | 1 online resource (214 p.) |
| Soggetto non controllato |
action units
adult-onset dementia Alzheimer's disease artificial intelligence artificial neural network atherosclerosis audio visual blood glucose Cardiac health ChemProt colonies comparison between manual and automated image segmentation computerized diagnostic systems convolutional neural network COVID-19 COVID-19 detection COVID-19 severity assessment CPR (chemical-protein relation) CVD classification data selection DDI (drug-drug interaction) deep learning deep neural network diabetes discrimination Doppler ultrasound ECG emotion ensemble learning gait GAT (graph-attention network) group-based trajectory modeling hemodynamic modeling image processing infected lung segmentation internal carotid artery largest Lyapunov exponent (LyE) machine learning machine-learning models magnetic resonance imaging Measurement uncertainty Monte Carlo method movement synergy n/a neural networks neuromuscular control overground walking petri-plates pretrained model principal component analysis (PCA) quantification of lung disease severity relation extraction risk assessment tool RNN-LSTM screening strategy self-attention signal processing speech stress stroke subclinical renal damage T5 (text-to-text transfer transformer) time-series forecasting transfer learning transformer |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910743269303321 |
| MDPI - Multidisciplinary Digital Publishing Institute, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Remote Sensing of the Aquatic Environments
| Remote Sensing of the Aquatic Environments |
| Autore | Carolis Giacomo De |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (292 p.) |
| Soggetto topico |
Geography
Research & information: general |
| Soggetto non controllato |
algal bloom
altimetry data ammonia detection aquaculture aquaculture ponds Arctic CDOM absorbance Chaohu Lake chlorophyll chlorophyll-a convolutional neural network coral reefs Cryosat-2 deep learning DOC Doppler Centroid Anomaly drone applications drought ecohydrology ecological status class of lakes empirical models estuarial and coastal areas European Union Water Framework Directive (2000/60/EC) extraction French Alps geostationary satellite groundwater HAB hydrodynamic model hydrodynamics inland lake inland waters lake level Lake Tana Landsat linear spectral unmixing MODIS mountain temporary pools multi-source remote sensing multiple regression multitemporal NDVI ocean color optical data optical fiber coating optical remote sensing optical sensing Pacific lagoons Paldang Reservoir photogrammetry physical limnology Planetscope polymer optical fibers Rana temporaria remote sensing SAR satellite sediment self-attention sensors sentinel Sentinel-2 Sentinel-3 shallow lakes shelf seas spectroscopic indices surface water synergy thermal infrared turbid water turbidity Ulva water hyacinth water level water quality parameters waterbody temperature |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557720403321 |
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Carolis Giacomo De
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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