Computational Intelligence in Oncology: Applications in Diagnosis, Prognosis and Therapeutics of Cancers

Part 1: Preliminaries.- Chapter 1. Computational Intelligence in Oncology: Past, Present, and Future.- Chapter 2. Machine Learning-based Models and their Applications in Diagnosis, Prognosis and Effective Cancer Therapeutics: Current State-of-the-art.- Chapter 3. Computational Intelligent Systems in Oncology: A Way towards Translational Healthcare.- Chapter 4. Computational Resources for Oncology Research: A Comprehensive Analysis.- Part 2: Cancer Detection, Diagnosis, Survival and Recurrence Prediction.- Chapter 5. Application of Convolutional Neural Networks in Cancer Diagnosis.- Chapter 6. Automatic Cancer Detection Using Probabilistic Convergence Theory.- Chapter 7. Computational Intelligence Methods for Cancer Survival Prediction.- Chapter 8. Breast Cancer Survival Prediction Using Machine Learning.- Chapter 9. Deep Learning Models for Classification of Brain Tumor with Magnetic Resonance Imaging Images Dataset.- Chapter 10. Predicting the Cancer Recurrence using Artificial Neural Networks.- Chapter 11. Computer Intelligence in Detection of Malignant or Premalignant Oral Lesions: The Story so far.- Chapter 12. Fuzzy Logic-based Hybrid Models for Clinical Decision Support Systems in Cancer.- Part 3: Predicting Cancer Biomarkers, Therapeutic Targets, Drug Response, and Drug Design, Discovery, and Development.- Chapter 13. Predicting Biomarkers and Therapeutic Targets in Cancer.- Chapter 14. Computational Intelligence: A Step Forward in Cancer Biomarker Discovery and Therapeutic Target Prediction.- Chapter 15. Computational Intelligence Based Cheminformatics Model as Cancer Therapeutics.