02846nam 2200733z- 450 991055733940332120220111(CKB)5400000000042484(oapen)https://directory.doabooks.org/handle/20.500.12854/76335(oapen)doab76335(EXLCZ)99540000000004248420202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierBiomedical Image Processing and ClassificationBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 online 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 issuesbicssc3D modelinganemiaartificial intelligencebinary tree modelblood vessel segmentationconjunctivaconvolutional neural networkconvolutional neural networksdeep learningDICOM processingdigital pathologyfluid volume assessmentfuzzy clusteringglomerulosclerosisglomerulus detectionhemoglobinhuman tissuesinferior vena cavakidney biopsykidney fibrosiskidney transplantationMR brain segmentationn/anon-invasive medical deviceobject extractionpattern recognitionpulsatilitysegmentationsemantic segmentationsilhouette analysistraining sizeU-Netultrasound imagingTechnology: general issuesMesin Lucaedt748261Mesin LucaothBOOK9910557339403321Biomedical Image Processing and Classification3021391UNINA