Biomedical Image Processing and Classification

• Muut tekijät: Mesin, Luca (Toimittaja)
• Aineistotyyppi: Elektroninen Kirjan osa
• Kieli: englanti
• Julkaistu: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
• Aiheet: Technology: general issues; 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/a
• Linkit: DOAB: download the publication; DOAB: description of the publication

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 imag...