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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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Image Processing and Analysis for Preclinical and Clinical Applications
| Image Processing and Analysis for Preclinical and Clinical Applications |
| Autore | Stefano Alessandro |
| Pubbl/distr/stampa | Basel, : MDPI Books, 2022 |
| Descrizione fisica | 1 electronic resource (228 p.) |
| Soggetto topico |
Research & information: general
Chemistry |
| Soggetto non controllato |
deep learning
segmentation prostate MRI ENet UNet ERFNet radiomics gamma knife imaging quantification [11C]-methionine positron emission tomography cancer atrial fibrillation 4D-flow stasis pulmonary vein ablation convolutional neural network transfer learning maxillofacial fractures computed tomography images radiography xenotransplant cancer cells zebrafish image analysis in vivo assay convolutional neural network (CNN) magnetic resonance imaging (MRI) neoadjuvant chemoradiation therapy (nCRT) pathologic complete response (pCR) rectal cancer radiomics feature robustness PET/MRI co-registration image registration fundus image feature extraction glomerular filtration rate Gate's method renal depth computed tomography computer-aided diagnosis medical-image analysis automated prostate-volume estimation abdominal ultrasound images image-patch voting soft tissue sarcoma volume estimation artificial intelligence Basal Cell Carcinoma skin lesion classification colon positron emission tomography-computed tomography nuclear medicine image pre-processing high-level synthesis X-ray pre-processing pipelined architecture |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910595073603321 |
Stefano Alessandro
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| Basel, : MDPI Books, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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