图书简介

SECTION 1. Introduction to Computational Intelligence Approaches 1. The Roadmap to the Adoption of Computational Intelligence in Cancer Diagnosis: the Clinical-Radiological Perspective 2. Deep Learning Approaches for High Dimensional Cancer Microarray Data Feature Prediction: A Review 3. Integrative Data Analysis and Automated Deep Learning Technique for Ovary Cancer Detection 4. Learning from Multiple Modalities of Imaging Data for Cancer diagnosis 5. Neural Network for Lung Cancer Diagnosis 6. Machine Learning for Thyroid Cancer Diagnosis SECTION 2. Prediction of Cancer Susceptibility 7. Machine Learning based Detection and Classification of Lung Cancer 8. Deep learning techniques for Oral Cancer Diagnosis 9. An Intelligent Deep Learning approach for Colon cancer diagnosis 10. Effect of COVID-19 on cancer patients: Issues and Future Challenges 11. Empirical Wavelet Transform-based Fast Deep Convolutional Neural Network for Detection and Classification of Melanoma SECTION 3. Advance Computational Intelligence Paradigms 12. Convolutional neural networks and stacked generalization ensemble method in breast cancer prognosis 13. An Advance Ensemble Learning model for Cancer diagnosis 14. Deep Learning Based Computer-Aided Cervical Cancer Diagnosis in Digital histopathology Images 15. Deep Learning Techniques for Hepatocellular Carcinoma Diagnosis 16. Issues and Future Challenges in Cancer prognosis: (Prostate cancer: A case study) 17. A Novel Cancer Drug Target Module Mining Approach using Non-Swarm Intelligence

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