"This book addresses the major techniques of segmentation, features extraction and classification, and pattern recognition for the histopathological images as well as their use to support computer-aided systems. It also introduces the analysis of the histopathological images using artificial neural network and other machine learning techniques"--Provided by publisher.

• Title Page
• Copyright Page
• Book Series
• Table of Contents
• Detailed Table of Contents
• Preface
• Acknowledgment
• Chapter 1: A Study on Segmentation of Leukocyte Image With Shannon's Entropy
• Chapter 2: Microscopic Image Processing for the Analysis of Nosema Disease
• Chapter 3: Medical Image Lossy Compression With LSTM Networks
• Chapter 4: Digital Image Analysis for Early Diagnosis of Cancer
• Chapter 5: Multi-Criteria Decision-Making Techniques for Histopathological Image Classification
• Chapter 6: Histopathological Image Analysis in Medical Decision Making
• Chapter 7: A Novel Approach of K-SVD-Based Algorithm for Image Denoising
• Chapter 8: Analysis of Medical Images Using Fractal Geometry
• Chapter 9: Analysis of Color Image Encryption Using Multidimensional Bogdanov Map
• Chapter 10: Automatic Computerized Diagnostic Tool for Down Syndrome Detection in Fetus
• Chapter 11: Adaptive Prediction Methods for Medical Image/Video compression for Telemedicine Application
• Chapter 12: HE Stain Image Segmentation Using an Innovative Type-2 Fuzzy Set-Based Approach
• Compilation of References
• About the Contributors
• Index