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Image Processing and Analysis for Preclinical and Clinical Applications

dc.contributor.editorStefano, Alessandro
dc.contributor.editorComelli, Albert
dc.contributor.editorVernuccio, Federica
dc.date.accessioned2023-02-20T16:45:29Z
dc.date.available2023-02-20T16:45:29Z
dc.date.issued2022
dc.identifierONIX_20230220_9783036550138_61
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/97458
dc.description.abstractRadiomics is one of the most successful branches of research in the field of image processing and analysis, as it provides valuable quantitative information for the personalized medicine. It has the potential to discover features of the disease that cannot be appreciated with the naked eye in both preclinical and clinical studies. In general, all quantitative approaches based on biomedical images, such as positron emission tomography (PET), computed tomography (CT) and magnetic resonance imaging (MRI), have a positive clinical impact in the detection of biological processes and diseases as well as in predicting response to treatment. This Special Issue, “Image Processing and Analysis for Preclinical and Clinical Applications”, addresses some gaps in this field to improve the quality of research in the clinical and preclinical environment. It consists of fourteen peer-reviewed papers covering a range of topics and applications related to biomedical image processing and analysis.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: generalen_US
dc.subject.classificationthema EDItEUR::P Mathematics and Science::PN Chemistryen_US
dc.subject.otherdeep learning
dc.subject.othersegmentation
dc.subject.otherprostate
dc.subject.otherMRI
dc.subject.otherENet
dc.subject.otherUNet
dc.subject.otherERFNet
dc.subject.otherradiomics
dc.subject.othergamma knife
dc.subject.otherimaging quantification
dc.subject.other[11C]-methionine positron emission tomography
dc.subject.othercancer
dc.subject.otheratrial fibrillation
dc.subject.other4D-flow
dc.subject.otherstasis
dc.subject.otherpulmonary vein ablation
dc.subject.otherconvolutional neural network
dc.subject.othertransfer learning
dc.subject.othermaxillofacial fractures
dc.subject.othercomputed tomography images
dc.subject.otherradiography
dc.subject.otherxenotransplant
dc.subject.othercancer cells
dc.subject.otherzebrafish image analysis
dc.subject.otherin vivo assay
dc.subject.otherconvolutional neural network (CNN)
dc.subject.othermagnetic resonance imaging (MRI)
dc.subject.otherneoadjuvant chemoradiation therapy (nCRT)
dc.subject.otherpathologic complete response (pCR)
dc.subject.otherrectal cancer
dc.subject.otherradiomics feature robustness
dc.subject.otherPET/MRI co-registration
dc.subject.otherimage registration
dc.subject.otherfundus image
dc.subject.otherfeature extraction
dc.subject.otherglomerular filtration rate
dc.subject.otherGate’s method
dc.subject.otherrenal depth
dc.subject.othercomputed tomography
dc.subject.othercomputer-aided diagnosis
dc.subject.othermedical-image analysis
dc.subject.otherautomated prostate-volume estimation
dc.subject.otherabdominal ultrasound images
dc.subject.otherimage-patch voting
dc.subject.othersoft tissue sarcoma
dc.subject.othervolume estimation
dc.subject.otherartificial intelligence
dc.subject.otherBasal Cell Carcinoma
dc.subject.otherskin lesion
dc.subject.otherclassification
dc.subject.othercolon
dc.subject.otherpositron emission tomography-computed tomography
dc.subject.othernuclear medicine
dc.subject.otherimage pre-processing
dc.subject.otherhigh-level synthesis
dc.subject.otherX-ray pre-processing
dc.subject.otherpipelined architecture
dc.subject.othern/a
dc.titleImage Processing and Analysis for Preclinical and Clinical Applications
dc.typebook
oapen.identifier.doi10.3390/books978-3-0365-5014-5
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783036550138
oapen.relation.isbn9783036550145
oapen.pages228
oapen.place.publicationBasel


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