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Artificial Intelligence in Healthcare and Medicine
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Main description:

Provides a comprehensive overview on the recent developments on clinical decision support systems, precision health and data science in medicine
Examines the advancements, challenges and opportunities of using AI in medical and health applications
Includes 10 cases for practical application and reference
Reviews melanoma detection by deep learning techniques


Contents:

1. Machine learning for disease classification: A perspective. 2. A review of automatic cardiac segmentation using deep learning and deformable models. 3. Advances in artificial intelligence applied to heart failure. 4. A Combination of Dilated Adversarial Convolutional Neural Network and Guided Active Contour Model for Left Ventricle Segmentation. 5. Automated methods for vessel segmentation in X-ray coronary angiography and geometric modeling of coronary angiographic image sequences: a survey. 6. Super-Resolution of 3D Magnetic Resonance Images of the Brain. 7. Head CT analysis for intracranial hemorrhage segmentation. 8. Wound Tissue Classification with Convolutional Neural Networks. 9. Artificial Intelligence Methodologies in Dentistry. 10. Literature Review of Computer Tools for the Visually Impaired: A Focus on Search Engines. 11. Tensor methods for clinical informatics.


PRODUCT DETAILS

ISBN-13: 9780367619176
Publisher: Taylor & Francis (CRC Press)
Publication date: April, 2022
Pages: 296
Weight: 548g
Availability: Available
Subcategories: Epidemiology, General Issues

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