List of contributors

Chapters in this book

1. Frontmatter I
2. Contents V
3. List of contributors VII
4. Deep learning in computer vision 1
5. Deep learning for medical image segmentation 51
6. Deep learning for image segmentation 107
7. Machine learning algorithm for medical image processing 155
8. Machine learning models for predicting anomaly in scanned images 215
9. Advanced machine learning models for accurate and efficient anomaly detection in scanned visual data 263
10. AI-enhanced diagnostic materials improving sensitivity for disease detection and diagnostics 311
11. Machine learning approaches for optimizing the synthesis and functionalization of quantum dots for medical imaging 353
12. Machine learning application in tissue engineering: scaffold design 407
13. Machine learning approaches to improve electrospun nanofibers’ performance and properties for medical applications 441
14. Predictive machine learning models for assessing the long-term stability of biodegradable scaffolds 483
15. Customization of medical implants using 3D printing 523
16. Index 559
17. De Gruyter Series in Advanced Mechanical Engineering