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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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Nonsmooth Optimization in Honor of the 60th Birthday of Adil M. Bagirov
| Nonsmooth Optimization in Honor of the 60th Birthday of Adil M. Bagirov |
| Autore | Karmitsa Napsu |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (116 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
multiple instance learning
support vector machine DC optimization nonsmooth optimization achievement scalarizing functions interactive method multiobjective optimization spent nuclear fuel disposal non-smooth optimization biased-randomized algorithms heuristics soft constraints DC function abs-linearization DCA Gauss-Newton method nonsmooth equations nonlinear complementarity problem B-differential superlinear convergence global convergence stochastic programming stochastic hydrothermal UC problem parallel computing asynchronous computing level decomposition |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557107803321 |
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Karmitsa Napsu
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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