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Deep Learning in Medical Image Analysis
| Deep Learning in Medical Image Analysis |
| Autore | Zhang Yudong |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (458 p.) |
| Soggetto non controllato |
interpretable/explainable machine learning
image classification image processing machine learning models white box black box cancer prediction deep learning multimodal learning convolutional neural networks autism fMRI texture analysis melanoma glcm matrix machine learning classifiers explainability explainable AI XAI medical imaging diagnosis ARMD change detection unsupervised learning microwave breast imaging image reconstruction tumor detection digital pathology whole slide image processing multiple instance learning deep learning classification HER2 medical images transfer learning optimizers neo-adjuvant treatment tumour cellularity cancer breast cancer diagnostics imaging computation artificial intelligence 3D segmentation active surface discriminant analysis PET imaging medical image analysis brain tumor cervical cancer colon cancer lung cancer computer vision musculoskeletal images lung disease detection taxonomy convolutional neural network CycleGAN data augmentation dermoscopic images domain transfer macroscopic images skin lesion segmentation infection detection COVID-19 X-ray images bayesian inference shifted-scaled dirichlet distribution MCMC gibbs sampling object detection surgical tools open surgery egocentric camera computers in medicine segmentation MRI ECG signal detection portable monitoring devices 1D-convolutional neural network medical image segmentation domain adaptation meta-learning U-Net computed tomography (CT) magnetic resonance imaging (MRI) low-dose sparse-angle quantitative comparison |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557435103321 |
Zhang Yudong
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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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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 electronic resource (240 p.) |
| Soggetto non controllato |
glucose-dependent dielectric properties
bioradar dielectric measurements dielectric spectroscopy snare RF sensing microwave breast imaging stress detection microwave resonators dielectric properties equipment-related confounders EMR monitoring phantom tissue-related confounders microwave imaging automated breast diagnosis breast cancer detection dielectric characterization blood glucose levels breast cancer diagnosis numerical calculation breast phantoms tomography image-guided on-site validation microwave tomography microwave non-invasive measurement on-body antennas psychophysiological state monitoring thermal ablation microwave ablation biological tissues breast cancer open-ended coaxial probe brain stroke monitoring machine learning patient study UWB diagnostics reconstruction medical radar unobtrusive monitoring medical imaging microwave spectroscopy UWB breast and head phantoms |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346687003321 |
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Crocco Lorenzo
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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