Description: 1. An Introduction to Neural Networks and Deep Learning 2. Medical Image Synthesis and Reconstruction 3. Dynamic Inference using Neural Architecture Search in Medical Image Segmentation 4. Cardiac 5. Applications of artificial intelligence in cardiovascular imaging 6. Detecting, Localising, and Classifying Polyps from Colonoscopy Videos Using Deep Learning 7. An overview of disentangled representation learning for MR images 8. Considerations in the Assessment of Machine Learning Algorithm Performance for Medical Imaging 9. Deep Learning for Medical Image Reconstruction 10. How to conduct a high quality clinical study (title TBC) 11. CapsNet 12. Hypergraph Learning and Its Applications for Medical Image Analysis 13. Unsupervised Domain Adaptation for Medical Image Analysis 14. Reinforcement Learning 15. Data-driven learning strategies for biomarker detection and outcome prediction in Autism from task-based fMRI 16. Deep Learning Models for Functional Brain Mapping 17. Medical Image Registration 18. Model Genesis 19. OCTA Segmentation 20. Transformer for Medical Image Analysis
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EAN: 9780323851244
UPC: 9780323851244
ISBN: 9780323851244
MPN: N/A
Format: Paperback, 600 pages, 2nd Edition
Author: S. Kevin Zhou (Edited by)
Book Title: Deep Learning for Medical Image Analysis (MICCAI S
Item Height: 2.2 cm
Item Length: 27.4 cm
Item Weight: 1.13 kg
Item Width: 21.6 cm
Language: Eng
Publisher: Academic Press Inc
