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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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Microwave Imaging and Electromagnetic Inverse Scattering Problems
| Microwave Imaging and Electromagnetic Inverse Scattering Problems |
| Autore | Di Donato Loreto |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (170 p.) |
| Soggetto non controllato |
joint sparsity
magnetic resonance imaging near-field measurements rank minimization compressed sensing array diagnosis microwave plasma diagnostics radar-based breast imaging image-based approach contraction integral equation for inversion (CIE-I) nonlinear optimization contrast-source inversion electromagnetic inverse scattering problems nonlinear problem tomography RCS estimation inverse problems discontinuous Galerkin method (DGM) microwave imaging profilometry electrical-property tomography breast imaging antenna array finite-difference methods adjoint inversion methods Bayesian compressive sensing (BCS) orthogonality sampling method inverse scattering linear sampling method breast cancer contrast source inversion (CSI) imaging electromagnetic inverse scattering antenna testing stopping criteria 3D microwave imaging Kolmogorov-Smirnov (K-S) test inverse obstacles problem 5G communication inverse source problem |
| ISBN | 3-03921-951-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910674007403321 |
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Di Donato Loreto
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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