Artificial Intelligence Applied to Medical Imaging and Computational Biology

• Main Authors: Rundo, Leonardo, Militello, Carmelo, Tangherloni, Andrea
• Format: eBook Book
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023; MDPI
• Subjects: accuracy; age-related macular degeneration; artificial intelligence; Biology, life sciences; brain metastasis; brain tumors; breast cancer; breast cancer detection; choroidal neovascularization; clinical feasibility; Computer Science; computer-aided diagnosis (CAD); computer-assisted segmentation; convolutional neural networks; craniomaxillofacial bone; deep CNN; deep learning; distribution patterns; electroencephalography; evaluation; fibroblast cells; fine tactile sensation; first-in-human (FiH) study; glioblastoma; HCT-8 colon-cancer cells; histopathology; image classification; image segmentation; Life Sciences; lung cancer; machine learning; magnetic resonance imaging; mandible; Mathematics and Science; medical image segmentation; microwave breast imaging; multi-center; multivariate VMD; myocardial infarction; n/a; nature-inspired techniques; neural network; optical coherence tomography angiography; orthopedics; oxygenation; pattern recognition; quantification; radiosurgery; Reference, Information and Interdisciplinary subjects; Research and information: general; segmentation; semantic segmentation; stroke; supervised segmentation; Technology, Engineering, Agriculture, Industrial processes; Technology: general issues; triceps surae muscle; tumor infiltration; unsupervised segmentation; vectorcardiogram
• ISBN: 3036564888; 9783036564883; 303656487X; 9783036564876
• DOI: 10.3390/books978-3-0365-6488-3

Medical imaging and computational biology continuously pose new fundamental medical and biological questions that often give rise to novel challenges in Artificial Intelligence. These research fields present an increasing need for the application of cutting-edge computational approaches that generally involve machine learning or computational intelligence techniques, which can effectively perform bioimage and biosignal processing in different clinical areas.