02809nam 2200709z- 450 991055733940332120231214133131.0(CKB)5400000000042484(oapen)https://directory.doabooks.org/handle/20.500.12854/76335(EXLCZ)99540000000004248420202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierBiomedical Image Processing and ClassificationBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 electronic resource (116 p.)3-0365-0346-3 3-0365-0347-1 Biomedical 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.Technology: general issuesbicsscMR brain segmentationfuzzy clusteringobject extractionsilhouette analysisDICOM processing3D modelingsemantic segmentationconvolutional neural networkskidney biopsykidney transplantationglomerulus detectionglomerulosclerosispattern recognitionhemoglobinanemiahuman tissuesconjunctivanon-invasive medical devicetraining sizedeep learningconvolutional neural networkU-Netsegmentationartificial intelligencedigital pathologykidney fibrosisblood vessel segmentationinferior vena cavaultrasound imagingbinary tree modelpulsatilityfluid volume assessmentTechnology: general issuesMesin Lucaedt748261Mesin LucaothBOOK9910557339403321Biomedical Image Processing and Classification3021391UNINA