"This book examines the application of artificial intelligence in medical imaging diagnostics"--.

• Cover
• Title Page
• Copyright Page
• Book Series
• Table of Contents
• Detailed Table of Contents
• Preface
• Chapter 1: Detection of Ocular Pathologies From Iris Images Using Blind De-Convolution and Fuzzy C-Means Clustering
• Chapter 2: Machine Learning in Healthcare
• Chapter 3: Detection of Tumor From Brain MRI Images Using Supervised and Unsupervised Methods
• Chapter 4: Breast Cancer Diagnosis in Mammograms Using Wavelet Analysis, Haralick Descriptors, and Autoencoder
• Chapter 5: Feature Selection Using Random Forest Algorithm to Diagnose Tuberculosis From Lung CT Images
• Chapter 6: An Ensemble Feature Subset Selection for Women Breast Cancer Classification
• Chapter 7: A Content-Based Approach to Medical Image Retrieval
• Chapter 8: Correlation and Analysis of Overlapping Leukocytes in Blood Cell Images Using Intracellular Markers and Colocalization Operation
• Chapter 9: Enchodroma Tumor Detection From MRI Images Using SVM Classifier
• Chapter 10: An Approach to Cloud Computing for Medical Image Analysis
• Chapter 11: Segmentation of Spine Tumour Using K-Means and Active Contour and Feature Extraction Using GLCM
• Chapter 12: A Survey on Early Detection of Women's Breast Cancer Using IoT
• Compilation of References
• About the Contributors
• Index