Biomedical Image Processing and Classification
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https://mdpi.com/books/pdfview/book/3755Contributor(s)
Mesin, Luca (editor)
Language
EnglishAbstract
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.
Keywords
MR brain segmentation; fuzzy clustering; object extraction; silhouette analysis; DICOM processing; 3D modeling; semantic segmentation; convolutional neural networks; kidney biopsy; kidney transplantation; glomerulus detection; glomerulosclerosis; pattern recognition; hemoglobin; anemia; human tissues; conjunctiva; non-invasive medical device; training size; deep learning; convolutional neural network; U-Net; segmentation; artificial intelligence; digital pathology; kidney fibrosis; blood vessel segmentation; inferior vena cava; ultrasound imaging; binary tree model; pulsatility; fluid volume assessment; n/aWebshop link
https://mdpi.com/books/pdfview ...ISBN
9783036503462, 9783036503479Publisher website
www.mdpi.com/booksPublication date and place
Basel, Switzerland, 2021Classification
Technology: general issues