Index

Chapters in this book

1. Frontmatter I
2. Preface VII
3. Acknowledgment XI
4. Contents XIII
5. List of contributors XV
6. 1 Performance of CNN for predicting cancerous lung nodules using LightGBM 1
7. 2 Deep learning-based cellular image analysis for intelligent medical diagnosis 19
8. 3 Deep learning approaches in metastatic breast cancer detection 55
9. 4 Machine learning: an ultimate solution for diagnosis and treatment of cancer 85
10. 5 Artificial intelligence in medicine (AIM): machine learning in cancer diagnosis, prognosis and therapy 103
11. 6 Diagnosis disease from medical databases using neural networks: a review 127
12. 7 A novel neutrosophic approach-based filtering and Gaussian mixture modeling clustering for CT/MR images 143
13. 8 Decentralized solutions for data collection and privacy in healthcare 167
14. 9 Navigation from conventional to intelligent healthcare: adoption of Internet of health things for noncommunicable disease screening, diagnosis, monitoring and treatment in community settings 191
15. 10 Automated gastric cancer detection and classification using machine learning 207
16. 11 Artificial intelligence applications for medical diagnosis and production with 3D printing technologies 225
17. 12 Detection of breast cancer using deep neural networks with transfer learning on histopathological images 245
18. 13 A machine vision technique-based tongue diagnosis system in Ayurveda 265
19. 14 Vine copula and artificial neural network models to analyze breast cancer data 287
20. Index 305