In the medical field, there is a constant need to improve professionals' abilities to provide prompt and accurate diagnoses. The use of image and pattern recognizing software may provide support to medical professionals and enhance their abilities to properly identify medical issues. Medical Image Processing for Improved Clinical Diagnosis provides emerging research exploring the theoretical and practical aspects of computer-based imaging and applications within healthcare and medicine. Featuring coverage on a broad range of topics such as biomedical imaging, pattern recognition, and medical diagnosis, this book is ideally designed for medical practitioners, students, researchers, and others in the medical and engineering fields seeking current research on the use of images to enhance the accuracy of medical prognosis.
Author(s): A. Swarnambiga
Series: Advances in Medical Technologies and Clinical Practice (AMTCP)
Publisher: Medical Information Science Reference
Year: 2018
Language: English
Pages: 300
City: Hershey
Title Page
Copyright Page
Book Series
Editorial Advisory Board and List of Reviewers
Table of Contents
Detailed Table of Contents
Preface
Acknowledgment
Section 1: Medical Image Analysis for Clinical Diagnosis
Chapter 1: Biomedical Image Processing Software Development for Shoulder Arthroplasty
Chapter 2: Digital Image Analysis in Clinical and Experimental Pathology
Section 2: Medical Image Extraction, Classification, and Restoration in Computer-Aided Diagnosis
Chapter 3: Medical Image Classification
Chapter 4: The Fundamentals of Medical Image Restoration
Chapter 5: Optimal Feature Selection and Extraction for Eye Disease Diagnosis
Section 3: Medical Image Segmentation for Improved Clinical Diagnosis
Chapter 6: Certain Investigation Titles on the Segmentation of Colon and Removal of Opacified Fluid for Virtual Colonoscopy
Section 4: Study of Compression and Denoising in Clinical Diagnosis
Chapter 7: Medical Data Storage and Compression
Chapter 8: Non-Subsampled Contourlet Transform-Based Effective Denoising of Medical Images
Section 5: Study on Fundamentals in Image Processing and Its Advancements
Chapter 9: The Fundamentals of Biomedical Image Processing
Chapter 10: A Survey on Female Breast Cancer
Section 6: Medical Image Registration and Retrieval for Improved Clinical Diagnosis
Chapter 11: A Comparative Study of Medical Image Retrieval Using Distance, Transform, Texture, and Shape
Chapter 12: Medical Image Registration in Clinical Diagnosis
Compilation of References
Index
