Description
PDF: 16.1 MB
By: Abdulhamit Subasi
Applications of Artificial Intelligence in Medical Imaging describes various biomedical image analysis in disease detection using AI that can be used to incorporate knowledge obtained from different medical imaging devices, such as CT, X-ray, PET, and ultrasound. The book discusses the use of AI for the detection of several cancer types, including brain tumors, breast cancer, pancreatic cancer, rectal cancer, lung colon cancer, and skin cancer. In addition, it explains how AI and deep learning techniques can be used to diagnose Alzheimer’s, Parkinson’s, COVID-19, and mental conditions.
This is a valuable resource for clinicians, researchers, and healthcare professionals who are interested in learning more about AI and its impact on medical/biomedical image analysis.
Key features
- Discusses new deep learning algorithms for image analysis and how they are used for medical images
- Provides several examples for each imaging technique, along with their application areas, so that readers can rely on them as a clinical decision support system
- Describes how new AI tools may contribute significantly to the successful enhancement of a single patient’s clinical knowledge to improve treatment outcomes
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Readership
Researchers, professionals, academicians, and graduate students in medical informatics and computer sciencePDF Preview
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