Medical imaging technologies play a significant role in visualization and interpretation methods in medical diagnosis and practice using decision making, pattern classification, diagnosis, and learning. Progressions in the field of medical imaging lead to interdisciplinary discovery in microscopic image processing and computer-assisted diagnosis systems, and aids physicians in the diagnosis and early detection of diseases. Histopathological Image Analysis in Medical Decision Making provides emerging research exploring the theoretical and practical applications of image technologies and feature extraction procedures within the medical field. Featuring coverage on a broad range of topics such as image classification, digital image analysis, and prediction methods, this book is ideally designed for medical professionals, system engineers, medical students, researchers, and medical practitioners seeking current research on problem-oriented processing techniques in imaging technologies.
Author(s): Nilanjan Dey, Amira S. Ashour, Harihar Kalia, Himansu Das, R. T. Goswami
Series: Advances in Medical Technologies and Clinical Practice (AMTCP)
Publisher: Medical Information Science Reference
Year: 2018
Language: English
Pages: 305
City: Hershey
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
