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 | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Science in Healthcare
| Data Science in Healthcare |
| Autore | Hulsen Tim |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (212 p.) |
| Soggetto topico |
Medicine and Nursing
Pharmacology |
| Soggetto non controllato |
apache spark
Arabic language arteriovenous fistula artificial intelligence big data breast cancer diagnosis case fatality rate chronic kidney disease (CKD) computed tomography coronavirus COVID-19 cross-validation data exploratory techniques data management data science data sharing depression dialysis digital technology distributed computing early-warning model end stage kidney disease end-stage kidney disease (ESKD) genetic algorithm hand-foot-and-mouth disease healthcare kidney failure kidney replacement therapy (KRT) machine learning machine learning models mental health metabolic syndrome metabolically healthy obese phenotype n/a naïve Bayes classifiers neural network non-specialist health worker obesity outbreak prediction pilot study pneumonia precision medicine primary care psychological treatment risk prediction SARS-CoV-2 sentinel surveillance system smart cities smart governance smart healthcare smoking social distancing social media task sharing thoracic pain training tree classification Triple Bottom Line (TBL) tumors classification vascular access surveillance |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576885103321 |
Hulsen Tim
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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Electromagnetic Technologies for Medical Diagnostics. Fundamental Issues, Clinical Applications and Perspectives
| Electromagnetic Technologies for Medical Diagnostics. Fundamental Issues, Clinical Applications and Perspectives |
| Autore | Crocco Lorenzo |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 online resource (240 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
automated breast diagnosis
biological tissues bioradar blood glucose levels brain stroke monitoring breast cancer breast cancer detection breast cancer diagnosis breast phantoms dielectric characterization dielectric measurements dielectric properties dielectric spectroscopy EMR equipment-related confounders glucose-dependent dielectric properties image-guided machine learning medical imaging medical radar microwave microwave ablation microwave breast imaging microwave imaging microwave resonators microwave spectroscopy microwave tomography monitoring non-invasive measurement numerical calculation on-body antennas on-site validation open-ended coaxial probe patient study phantom psychophysiological state monitoring reconstruction RF sensing snare stress detection thermal ablation tissue-related confounders tomography unobtrusive monitoring UWB breast and head phantoms UWB diagnostics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346687003321 |
Crocco Lorenzo
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Lo trovi qui: Univ. Federico II | ||
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