Applications of Artificial Intelligence in Medical Imaging

Applications of Artificial Intelligence in Medical Imaging provides the description of 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 detection of several cancer types: brain tumor, breast, pancreatic, rectal, lung colon, and skin. In addition, it explains how AI and deep learning techniques can be used to diagnose Alzheimer, Parkinson, COVID-19, and mental conditions. It is a valuable resource for clinicians, researchers and healthcare professionals who are interested in learning more about AI and its impact in medical/biomedical image analysis. Discusses new deep learning algorithms for image analysis and how they are used for medical image Provides several examples for each imaging technique and their application areas so that readers can rely on them as a clinical decision support system Describes through the chapters how new AI tools may contribute significantly to the successful enhancement of a single patient's clinical knowledge to improve their treatment outcome INDICE: 1. Introduction to AI techniques for medical Imaging 2. Brain tumor segmentation and grading of lower-grade glioma using deep learning 3. Deep learning approach for brain cancer MRI images classification 4. Breast cancer detection using mammogram images and deep learning 5. Artificial intelligence techniques for breast cancer detection using Ultrasound imaging 6. Breast cancer detection using deep features and histopathological images 7. Deep learning for detection of pancreatic cancer 8. Automatic tumor delineation in rectal cancer using deep learning 9. Automated detection of lung cancer using deep neural networks 10. Automated detection of colon cancer using deep neural networks 11. Artificial intelligence-based image classification methods for diagnosis of skin cancer 12. A deep learning framework for prostate cancer detection using histopathological images 13. Artificial Intelligence in Alzheimer Detection 14. Classification of PPMI MRI scans for the diagnosis of Parkinson's disease15. Deep learning model for identifying mild cognitive impairment in patients with Parkinson's disease 16. Detection and Classification of Diabetic Retinopathy Lesions using deep learning 17. Use of CT Imaging and Artificial Intelligence in COVID-19 Infection 18. Deep learning approaches for COVID-19 detection based on chest X-ray images 19. Pneumonia Detection in Chest X-Ray 20. AI for major depressive disorder 21. AI study of patients with schizophrenia, bipolar disorder and healthy subjects 22. Identification of suicidality in adolescent major depressive disorder patients using AI 23. Artificial Intelligence in Head and Neck Imaging

• ISBN: 978-0-443-18450-5
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 400
• Fecha Publicación: 01/11/2022
• Nº Volúmenes: 1
• Idioma: Inglés