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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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