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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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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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Modern Developments in Transcranial Magnetic Stimulation (TMS) - Applications and Perspectives in Clinical Neuroscience
| Modern Developments in Transcranial Magnetic Stimulation (TMS) - Applications and Perspectives in Clinical Neuroscience |
| Autore | Sollmann Nico |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (286 p.) |
| Soggetto topico | Medical equipment and techniques |
| Soggetto non controllato |
A1R
A2AR aberrant and repetitive behaviors action naming adenosine aging alpha oscillations Alzheimer's disease aphasia Autism spectrum disorder bihemispheric bilingual brain networks brain stimulation brain tumor case report CD73 chronic pain connectivity dorsolateral prefrontal cortex EEG EEG state-dependent TMS electric field eloquent cortex evoked and induced gamma oscillations excitability fiber tractography fMRI functional connectivity functional mapping glioblastoma multiforme gray matter hippocampus ICU intensive care iTBS language language mapping low back pain MEG memory mild cognitive impairment motor evoked potentials motor mapping motor threshold n/a navigated transcranial magnetic stimulation neurocritical care neuroinflammation neuromodulation neuromonitoring neuronavigation neuroplasticity non-invasive brain stimulation nTMS object naming oddball task paired associative stimulation picture naming plasticity preoperative mapping presurgical evaluation primary motor cortex purinergic signaling reaction time rehabilitation repetition suppression repetitive transcranial magnetic stimulation rTMS source reconstruction stroke theta-burst stimulation TMS transcranial magnetic stimulation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Modern Developments in Transcranial Magnetic Stimulation |
| Record Nr. | UNINA-9910580203303321 |
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Sollmann Nico
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Molecular Advances in Diagnosis and Treatment of CNS Tumors
| Molecular Advances in Diagnosis and Treatment of CNS Tumors |
| Autore | Chen Liam |
| Pubbl/distr/stampa | Frontiers Media SA, 2020 |
| Descrizione fisica | 1 online resource (283 p.) |
| Soggetto topico |
Medicine and Nursing
Oncology |
| Soggetto non controllato |
astrocytic
brain tumor glioblastoma glioma molecular biomarker therapy |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557382903321 |
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Chen Liam
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| Frontiers Media SA, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Novel Treatment Strategies for Glioblastoma
| Novel Treatment Strategies for Glioblastoma |
| Autore | Stylli Stanley |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (268 p.) |
| Soggetto topico | Medicine |
| Soggetto non controllato |
angiopoietin (Ang)
anti-angiogenesis anticancer brain cancer brain tumor cancer stem cell cancer stem cell niche cancer stem cells cell cycle chimeric antigen receptor (CAR) T cells CK2 CRISPR/Cas9 CX-4945 de novo purine synthesis differentiation drug repurposing drug targets drug-inducible gene expression endothelial nitric oxide synthase (eNOS) GBM gene therapy glioblastoma glioblastoma (GB) glioblastoma multiforme glioma immune checkpoint inhibitors immunotherapy invadopodia invasion ion channels Mardepodect metabolic reprogramming metabolic treatment migration n/a nanomedicine nerve/glial antigen 2 new trial design newly diagnosed glioblastoma NG2 novel therapy one-carbon metabolism organoids P-bi-TAT P-m-TAT PEG personalized treatment pluripotent stem cells proliferation prolyl-oligopeptidase (POP) radiotherapy RAS recurrent glioblastoma Regorafenib renin-angiotensin system SRGAP2 stem cell targeted therapy temozolomide tetrac thyrointegrin αvβ3 TP53 transforming growth factor-β (TGF-β) triazole tetrac tumor antigens tumor microenvironment vaccine vascular endothelial growth factor (VEGF) viral vectors |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557363703321 |
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Stylli Stanley
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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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Strategies to Improve Antineoplastic Activity of Drugs in Cancer Progression
| Strategies to Improve Antineoplastic Activity of Drugs in Cancer Progression |
| Autore | Stefanachi Angela |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (416 p.) |
| Soggetto topico |
Research & information: general
Biology, life sciences |
| Soggetto non controllato |
EGR-1
flavonoid (E)-5-((4-oxo-4H-chromen-3-yl)methyleneamino)-1-phenyl-1H-pyrazole-4-carbonitrile MDA-MB-231 MMP9 TNFα pancreatic ductal adenocarcinoma cyclodextrin inclusion complex phase solubility studies preformulation studies biphenylnicotinamide derivatives dual inhibitor EGFR VEGFR2 ligand-based pharmacophore molecular docking molecular dynamics leukemias doxorubicin inflammation drug delivery tumor targeting elastin-like polypeptide cell penetrating peptide matrix metalloproteinase doxorubicin resistance photosensitizer delivery system PAMAM dendrimer photodynamic therapy cytotoxicity phototoxicity colorectal adenocarcinoma dicarboximides chemical synthesis apoptosis kinases anticancer gene profiling SAR biomarkers colorectal cancer early detection examination liquid biopsy personalized medicine tumor treatment exosomes ctDNA CTC cytotoxic activity pyrazole derivatives MTT assay ADMET analysis single-crystal diffraction FTIR spectroscopy NMR spectroscopy thermogravimetric analysis acute myelogenous leukemia platelets microparticles γδ T cells immunotherapy tumor resistance combination therapy tumor microenvironment immune checkpoint inhibitor neuroblastoma molecular iodine cyclophosphamide xenografts metronomic therapy tamoxifen CYP2D6 MCF-7 Ishikawa cells SERM TNBC uterotrophic α-mangostin poly(amidoamine) dendrimer targeted drug delivery biotin targeting glioblastoma multiforme squamous cell carcinoma antiparasitic therapy diclofenac indomethacin oleanolic acid derivative conjugates NF-κB Nrf2 MAPKs PSN-1 cells reactive oxygen species glioblastoma brain tumor extracellular vesicles pancreatic cancer paclitaxel clathrin endocytosis sulforaphane nicotine metalloproteinase-9 gastric cancer cell invasion Arylquin 1 colon cancer tumor progression azelastine oxidative stress autophagy mitotic catastrophe chronic myeloid leukemia imatinib tyrosine kinase ketoconazole P-glycoprotein drug efflux transporter non-small-cell lung cancer cisplatin resistance aldehyde dehydrogenase isothiocyanates disulfiram epithelial to mesenchymal transition aminopeptidase N acetamidophenones Schiff bases semicarbazones thiosemicarbazones inhibition of proliferation |
| ISBN | 3-0365-5927-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910639990003321 |
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Stefanachi Angela
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Update in Pediatric Neuro-Oncology / Soumen Khatua, Natasha Pillay Smiley
| Update in Pediatric Neuro-Oncology / Soumen Khatua, Natasha Pillay Smiley |
| Autore | Khatua Soumen |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (138 p.) |
| Soggetto topico | Medicine |
| Soggetto non controllato |
molecular biology
translational medicine pediatrics brain tumor cancer survivorship pediatric neuro-oncology |
| ISBN |
9783038975403
3038975400 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346845203321 |
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Khatua Soumen
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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