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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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Intelligent Biosignal Processing in Wearable and Implantable Sensors
| Intelligent Biosignal Processing in Wearable and Implantable Sensors |
| Autore | Costin Hariton-Nicolae |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (318 p.) |
| Soggetto topico |
History of engineering and technology
Technology: general issues |
| Soggetto non controllato |
accelerometer
annotations artificial intelligence atrial fibrillation beta rebound biomedical monitoring brain-machine interface calibration carbon nanotube cardiac time interval cell signal enhancement cell-line analysis cirrhosis classification models classifications compressed sensing convolutional neural network convolutional neural networks Convolutional Neural Networks (CNN) correlation COVID-19 decoding deep learning deep metric learning dimensionality reduction disease management dynamic time warping ECG signal ECG trace image EEG EEG classification electrocardiogram electrocardiogram (ECG) electrocardiography electrodes electromyography electronic nose epileptic seizure detection feature extraction feature selection fiducial point detection gait analysis grasp classification grasp phases analysis heart failure heart rate variability high blood pressure hypertension IMU intrafascicular intraneural k-nearest neighbors classifier Laplacian eigenmaps lens-free shadow imaging technique liver dysfunction locality preserving projections machine learning motor execution motor imagery myoelectric prosthesis n/a osteopenia Parkinson's disease photoplethysmography prediction premature ventricular contraction pressure sensor projection matrices random forest reconstruction dictionaries recording RISC-V sarcopenia seismocardiography sEMG semiconductor metal oxide gas sensor sensors sepsis SHAP signal classifications skin sympathetic nerve activity (SKNA) sympathetic activity (SNA) transfer learning ultra-low-power vagus nerve wearable electroencephalography XAI |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910580203203321 |
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Costin Hariton-Nicolae
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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