Reprint
Biomedical Image Processing and Classification
Edited by
May 2021
116 pages
- ISBN978-3-0365-0346-2 (Hardback)
- ISBN978-3-0365-0347-9 (PDF)
This book is a reprint of the Special Issue Biomedical Image Processing and Classification that was published in
Computer Science & Mathematics
Engineering
Physical Sciences
Summary
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.
Format
- Hardback
License
© 2022 by the authors; CC BY-NC-ND license
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; semantic segmentation; pattern recognition; hemoglobin; anemia; human tissues; conjunctiva; non-invasive medical device; training size; deep learning; convolutional neural network; U-Net; segmentation; artificial intelligence; kidney transplantation; digital pathology; deep learning; kidney fibrosis; blood vessel segmentation; convolutional neural networks; inferior vena cava; ultrasound imaging; binary tree model; pulsatility; fluid volume assessment; n/a