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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
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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 electronic resource (258 p.) |
| Soggetto topico |
Information technology industries
Computer science |
| Soggetto non controllato |
tremor
essential tremor ataxia finger–nose–finger test H&E decellularization liver tissue engineering semantic segmentation convolutional neural networks segmentation lung CT image U-Net ResNet-34 BConvLSTM magnetic resonance images brain tissue segmentation multi-scale feature learning multi-branch pooling multi-branch dense prediction multi-branch output delay-and-sum (DAS) delay-multiply-and-sum (DMAS) signal coherence power doppler detection plane-wave (PW) imaging complementary subset transmit (CST) coherent plane-wave compounding (CPWC) robotic cell manipulation mechanical properties elasticity measurement viscosity measurement cell mechanics hemoglobin sensor bladder irrigation monitor absorption near infrared artificial intelligence bubble detection exercise EEG EMG ECG brain activity age exercise habit tinnitus auditory discrimination therapy EEG evaluation event-related synchronization event-related desynchronization convolutional neural network image registration cycle constraint multimodal features self-supervision rigid alignment magnetic resonance fingerprinting echo-planar imaging T1 and T2* relaxation times denoising convolutional neural network self-attention feature pyramid network image processing object detection blind braille system 3D body shapes body weights and measures postpartum period pregnancy period anthropometry machine learning vital sign invasive blood pressure feature engineering hypotension arterial hypotension |
| 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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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 electronic resource (292 p.) |
| Soggetto topico |
Research & information: general
Geography |
| Soggetto non controllato |
polymer optical fibers
ammonia detection optical fiber coating aquaculture French Alps optical remote sensing multitemporal linear spectral unmixing NDVI drought Rana temporaria ecohydrology mountain temporary pools Lake Tana water hyacinth waterbody temperature turbidity lake level Planetscope remote sensing sensors ocean color sediment turbid water chlorophyll geostationary satellite aquaculture ponds extraction inland lake self-attention Ulva Sentinel-2 satellite algal bloom coral reefs Pacific lagoons HAB multi-source remote sensing MODIS Landsat sentinel Chaohu Lake ecological status class of lakes European Union Water Framework Directive (2000/60/EC) water quality parameters water level Sentinel-3 Cryosat-2 shallow lakes synergy altimetry data optical data CDOM absorbance spectroscopic indices DOC Arctic shelf seas estuarial and coastal areas drone applications surface water groundwater photogrammetry optical sensing thermal infrared deep learning convolutional neural network chlorophyll-a hydrodynamic model empirical models multiple regression Paldang Reservoir SAR Doppler Centroid Anomaly inland waters physical limnology hydrodynamics |
| 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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