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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 online resource (458 p.) |
| Soggetto non controllato |
1D-convolutional neural network
3D segmentation active surface ARMD artificial intelligence autism bayesian inference black box brain tumor breast cancer cancer cancer prediction cervical cancer change detection classifiers colon cancer computation computed tomography (CT) computer vision computers in medicine convolutional neural network convolutional neural networks COVID-19 CycleGAN data augmentation deep learning deep learning classification dermoscopic images diagnosis diagnostics digital pathology discriminant analysis domain adaptation domain transfer ECG signal detection egocentric camera explainability explainable AI fMRI gibbs sampling glcm matrix HER2 image classification image processing image reconstruction imaging infection detection interpretable/explainable machine learning low-dose lung cancer lung disease detection machine learning machine learning models macroscopic images magnetic resonance imaging (MRI) MCMC medical image analysis medical image segmentation medical images medical imaging melanoma meta-learning microwave breast imaging MRI multimodal learning multiple instance learning musculoskeletal images n/a neo-adjuvant treatment object detection open surgery optimizers PET imaging portable monitoring devices quantitative comparison segmentation shifted-scaled dirichlet distribution skin lesion segmentation sparse-angle surgical tools taxonomy texture analysis transfer learning tumor detection tumour cellularity U-Net unsupervised learning white box whole slide image processing X-ray images XAI |
| 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 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 |
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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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