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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 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Deep Learning Strategies for the Analysis of Remote Sensing Images
| Advanced Deep Learning Strategies for the Analysis of Remote Sensing Images |
| Autore | Bazi Yakoub |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (438 p.) |
| Soggetto topico | Research and information: general |
| Soggetto non controllato |
3D information
adversarial learning anomaly detection Batch Normalization building damage assessment CNN conditional random field (CRF) convolution convolutional neural network convolutional neural networks CycleGAN data augmentation deep convolutional networks deep features deep learning densenet DenseUNet depthwise atrous convolution desert despeckling edge enhancement EfficientNets faster region-based convolutional neural network (FRCNN) feature engineering feature fusion framework generative adversarial networks Generative Adversarial Networks global convolution network hand-crafted features high spatial resolution remote sensing high-resolution remote sensing image high-resolution remote sensing imagery high-resolution representations hyperspectral image classification image classification infrastructure ISPRS vaihingen Landsat-8 lifting scheme LSTM LSTM network machine learning mapping min-max entropy misalignments monitoring multi-scale nearest feature selector neural networks object detection object-based Open Street Map open-set domain adaptation orthophoto orthophotos registration orthophotos segmentation OUDN algorithm outline extraction pareto ranking pavement markings pixel-wise classification plant disease detection post-disaster precision agriculture remote sensing remote sensing imagery result correction road road extraction SAR satellite satellites scene classification semantic segmentation Sentinel-1 single-shot single-shot multibox detector (SSD) Sinkhorn loss sub-pixel super-resolution synthetic aperture radar text image matching triplet networks two stream residual network U-Net UAV multispectral images Unmanned Aerial Vehicles (UAV) unsupervised segmentation urban forests visibility water identification water index wildfire detection xBD |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557747903321 |
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Bazi Yakoub
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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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Advanced Sensing and Image Processing Techniques for Healthcare Applications
| Advanced Sensing and Image Processing Techniques for Healthcare Applications |
| Autore | Abolghasemi Vahid |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (258 p.) |
| Soggetto topico |
Computer science
Information technology industries |
| Soggetto non controllato |
3D body shapes
absorption near infrared age anthropometry arterial hypotension artificial intelligence ataxia auditory discrimination therapy BConvLSTM bladder irrigation monitor blind body weights and measures braille system brain activity brain tissue segmentation bubble detection cell mechanics coherent plane-wave compounding (CPWC) complementary subset transmit (CST) convolutional neural network convolutional neural networks CT image cycle constraint decellularization delay-and-sum (DAS) delay-multiply-and-sum (DMAS) denoising convolutional neural network ECG echo-planar imaging EEG EEG evaluation elasticity measurement EMG essential tremor event-related desynchronization event-related synchronization exercise exercise habit feature engineering feature pyramid network finger-nose-finger test H&E hemoglobin sensor hypotension image processing image registration invasive blood pressure liver lung machine learning magnetic resonance fingerprinting magnetic resonance images mechanical properties multi-branch dense prediction multi-branch output multi-branch pooling multi-scale feature learning multimodal features object detection plane-wave (PW) imaging postpartum period power doppler detection pregnancy period ResNet-34 rigid alignment robotic cell manipulation segmentation self-attention self-supervision semantic segmentation signal coherence T1 and T2* relaxation times tinnitus tissue engineering tremor U-Net viscosity measurement vital sign |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566486403321 |
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Abolghasemi Vahid
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Applications of Artificial Intelligence in Medicine Practice
| Applications of Artificial Intelligence in Medicine Practice |
| Autore | Kang Kyungtae |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (184 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
advanced statistics
aggression ATLAS backdoor attacks Bayesian learning brain cerebral infarction clinical decision support systems CNN computational intelligence computer vision convolutional neural network COVID-19 CT image segmentation CycleGAN deep learning deep neural networks digital pathology DNET dysembryoplastic neuroepithelial tumor endoscopy feature selection forensic psychiatry fundus images ganglioglioma gastric cancer HarDNet healthcare instance-based learning kernel density kernel formulation machine learning medical assistance medical image segmentation medical imaging mental disorders MRI n/a neuroimaging ophthalmology pituitary adenoma schizophrenia security and privacy segmentation semi-automated labeling tool SVM Swin transformer U-Net visual acuity |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910673905003321 |
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Kang Kyungtae
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Applications of Remote Image Capture System in Agriculture
| Applications of Remote Image Capture System in Agriculture |
| Autore | Molina Martínez José Miguel |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (310 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
3D model
aerial photography agricultural robot agriculture Agriculture 4.0 andosols applications artificial intelligence automatic tomato harvesting banana plantation berries counting budding rate Cabernet Sauvignon canopy temperature classification performance coffee leaf rust convolutional neural network decision making deep learning digital agriculture digital image correlation Dilated CNN failure strain fertirrigation finite element method Fourth Industrial Revolution frequency-domain reflectometry geometric consistency grape yield estimate greenhouse Hill-Tsai failure criterion ICP image processing land use large-scale low-cost thermography machine learning machine learning algorithms machine learning regression mixed pixels moisture sensors n/a NDVI non-transpiration baseline non-water-stressed baselines normalized difference vegetation index Normalized Difference Vegetation Index normalized difference water index online operation optimization algorithm Panama TR4 Parrot Sequoia pasture quality index point clouds precision agriculture precision viticulture Prunus avium L. radiometric consistency randomizable filtered classifier reference evapotranspiration reflectance maps remote images remote sensing sandstone segmentation Sentinel-2 soil moisture spatial vision spectrometry stem water potential supplementation SVM systematic mapping study teaching-learning thermal indexes total leaf area U-Net UAV vegetation indices water stress winter wheat mapping |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557895803321 |
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Molina Martínez José Miguel
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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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Artificial Intelligence in Medical Image Processing and Segmentation
| Artificial Intelligence in Medical Image Processing and Segmentation |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2023 |
| Descrizione fisica | 1 online resource (348 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
2D ultrasound image
2D/3D registration 3D virtual reconstruction ALO artificial hummingbird algorithm artificial intelligence artificial neural network (ANN) attention mechanism auto-segmentation automatic volume measurement breast cancer breast density CAD canonical correlation analysis (CCA) carbon ion radiotherapy CBCT cervical cancer cervical net children CNN comparison computer vision applications convolutional neural network Convolutional Neural Networks Cranio-Maxillofacial surgery CT DarkNet-19 deep learning deep learning structures DICOM directional total variation disease discrimination accuracy dual-energy CT edge computing ensemble learning feature fusion feature selection fundus image GAN Grad-CAM hematoxylin eosin histopathological histopathology histopathology images image enhancement image inpainting image normalization image preprocessing image registration image segmentation image-guided radiotherapy in-house instance segmentation k-nearest neighbour (KNN) lesion segmentation limited-angular range loss function magnetic resonance imaging mandible mask-transformer-based networks medical image analysis medical imaging mitotic nuclei classification MobileNet mp-MRI MRI MRI guidance MRI-only multi-contrast MRI NasNet neuroimaging nuclei detection nuclei segmentation OCT orthogonal X-ray osteoarthritis ovarian tumor PA panoptic segmentation panoramic radiographs pap smear particle therapy patch size PCA PCNSL performance comparisons prostate cancer prostate segmentation pyramidal network radiomics random forest (RF) rare neurodevelopmental disorder rare tumor ResNet-101 safranin O fast green scale-adaptive segmentation semantic segmentation shuffle net ShuffleNet software support vector machine support vector machine (SVM) synthetic CT teeth segmentation textural tooth disease recognition tuberous sclerosis complex two-step method U-Net ultrasound bladder scanner urinary disease |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910743276403321 |
| MDPI - Multidisciplinary Digital Publishing Institute, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Biomedical Image Processing and Classification
| Biomedical Image Processing and Classification |
| Autore | Mesin Luca |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (116 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
3D modeling
anemia artificial intelligence binary tree model blood vessel segmentation conjunctiva convolutional neural network convolutional neural networks deep learning DICOM processing digital pathology fluid volume assessment fuzzy clustering glomerulosclerosis glomerulus detection hemoglobin human tissues inferior vena cava kidney biopsy kidney fibrosis kidney transplantation MR brain segmentation n/a non-invasive medical device object extraction pattern recognition pulsatility segmentation semantic segmentation silhouette analysis training size U-Net ultrasound imaging |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557339403321 |
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Mesin Luca
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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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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 |
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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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UAVs for Vegetation Monitoring
| UAVs for Vegetation Monitoring |
| Autore | de Castro Megías Ana |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (452 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
Acacia
agro-environmental measures artificial intelligence artificial neural network banana broad-sense heritability canopy cover canopy height century-old biochar chlorophyll content CIELab classification close remote sensing CNN container-grown contextual spatial domain/resolution convolution neural network cotton root rot crop canopy crop disease crop mapping crop monitoring curve fitting data aggregation deep learning detection performance disease detection disease diagnosis disease monitoring drone drought tolerance eddy covariance (EC) evapotranspiration (ET) Faster RCNN flight altitude forage grass forest Fusarium wilt Glycine max GRAPEX growth model high throughput field phenotyping HSV hyperspectral image analysis image segmentation Inception v2 individual plant segmentation Indonesia inference time land cover least squares support vector machine machine learning maize tassel method comparison MobileNet v2 multiple linear regression multiscale textures multispectral multispectral image multispectral imagery multispectral remote sensing NDVI neural network nitrogen stress nutrient deficiency oil palm olive groves operating parameters ornamental patch-based CNN phenotyping gap plant detection plant nitrogen estimation plant segmentation plant trails plant-by-plant plant-level precision agriculture purple rapeseed leaves random forest red-edge spectra remote sensing remote sensing technique RGB RGB camera RGB imagery semantic segmentation single-plant solar zenith angle southern Spain spatial resolution SSD sUAS support vector machine tassel branch number texture thermal thermal camera time of day transfer learning transpiration tropics Two Source Energy Balance model (TSEB) U-Net UAS UAV UAV digital images UAV hyperspectral UAV remote sensing unmanned aerial vehicle variable importance vegetation cover vegetation ground cover vegetation index vegetation indices VGG16 visual recognition water stress weed detection wheat yellow rust winter wheat biomass |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557661103321 |
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de Castro Megías Ana
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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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