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"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.
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Table of Contents
- 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
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