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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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Agricultural Irrigation
| Agricultural Irrigation |
| Autore | Montazar Aliasghar |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 online resource (172 p.) |
| Soggetto topico | Biology, life sciences |
| Soggetto non controllato |
available water capacity
benchmarking biomass production center-pivot irrigation climate change adaptation cover crop crop evapotranspiration deficit irrigation downy mildew drip irrigation energy audit evaluation of performance farming data global sensitivity analysis greenhouse gas emission infiltration depth irrigated crops irrigation irrigation management irrigation water regimes irrigation water use efficiency leaf mineral composition lettuce production life cycle assessment Mediterranean region model simulation monthly changes mulch net irrigation requirements optimal irrigation time organic production performance indicator precision agriculture principal component analysis pumping plants row cover salinization semi-arid regions site-specific irrigation slope gradient spinach temperature variations tomato fruit yield total yield treated wastewater irrigation water application rate |
| ISBN | 3-03921-923-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367740803321 |
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Montazar Aliasghar
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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