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dc.contributor.editorMesin, Luca
dc.date.accessioned2022-01-11T13:29:05Z
dc.date.available2022-01-11T13:29:05Z
dc.date.issued2021
dc.identifierONIX_20220111_9783036503462_71
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/76335
dc.description.abstractBiomedical image processing is an interdisciplinary field involving a variety of disciplines, e.g., electronics, computer science, physics, mathematics, physiology, and medicine. Several imaging techniques have been developed, providing many approaches to the study of the human body. Biomedical image processing is finding an increasing number of important applications in, for example, the study of the internal structure or function of an organ and the diagnosis or treatment of a disease. If associated with classification methods, it can support the development of computer-aided diagnosis (CAD) systems, which could help medical doctors in refining their clinical picture.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issuesen_US
dc.subject.otherMR brain segmentation
dc.subject.otherfuzzy clustering
dc.subject.otherobject extraction
dc.subject.othersilhouette analysis
dc.subject.otherDICOM processing
dc.subject.other3D modeling
dc.subject.othersemantic segmentation
dc.subject.otherconvolutional neural networks
dc.subject.otherkidney biopsy
dc.subject.otherkidney transplantation
dc.subject.otherglomerulus detection
dc.subject.otherglomerulosclerosis
dc.subject.otherpattern recognition
dc.subject.otherhemoglobin
dc.subject.otheranemia
dc.subject.otherhuman tissues
dc.subject.otherconjunctiva
dc.subject.othernon-invasive medical device
dc.subject.othertraining size
dc.subject.otherdeep learning
dc.subject.otherconvolutional neural network
dc.subject.otherU-Net
dc.subject.othersegmentation
dc.subject.otherartificial intelligence
dc.subject.otherdigital pathology
dc.subject.otherkidney fibrosis
dc.subject.otherblood vessel segmentation
dc.subject.otherinferior vena cava
dc.subject.otherultrasound imaging
dc.subject.otherbinary tree model
dc.subject.otherpulsatility
dc.subject.otherfluid volume assessment
dc.subject.othern/a
dc.titleBiomedical Image Processing and Classification
dc.typebook
oapen.identifier.doi10.3390/books978-3-0365-0347-9
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783036503462
oapen.relation.isbn9783036503479
oapen.pages116
oapen.place.publicationBasel, Switzerland


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