Mesin, Luca <br/><br/>
Biomedical Image Processing and Classification 

 - Basel, Switzerland  MDPI - Multidisciplinary Digital Publishing Institute  2021 
 - 1 electronic resource (116 p.) 
<br/><br/> Open Access 
<br/><br/> 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. 
<br/><br/><br/>Creative Commons 
<br/><br/><br/>English 
<br/><br/><label>ISBN: </label>books978-3-0365-0347-9 9783036503462 9783036503479 
<br/><br/><label>Standard No.: </label>10.3390/books978-3-0365-0347-9  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Technology: general issues
<br/><br/><label>Subjects--Index Terms: </label>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