Advanced Image Analysis and Processing Techniques in the Medical Field

Advanced Image Analysis and Processing Techniques in the Medical Field

Nikolay V. Matveev (Moscow Research Institute for Paediatrics and Children’s Surgery, Russia)
Release Date: March, 2016|Copyright: © 2016 |Runtime: 4 hrs 5 mins
EISBN13: 9781466698192|DOI: 10.4018/978-1-4666-9819-2
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Description

Medical images are a powerful tool in the healthcare sector used to aid in diagnosis, the maintenance of electronic medical records, and telemedicine applications. As medical imaging tools become more sophisticated, the possibilities for their use in the healthcare industry are limitless.

Advanced Image Analysis and Processing Techniques in the Medical Field explores essential concepts related to image processing, image analysis, and image recognition as they are applied within a medical context. Laying the foundation upon which further developments in this field can emerge and lead to advancements in medicine, this video is designed for use by medical professionals, technology developers, graduate-level students, and researchers in the field of computer vision and image processing.

Topics Covered

  • Brightness Gradients Detection
  • Color Representation
  • Edge Detection
  • Image Analysis
  • Image Recognition
  • Medical imaging
  • Texture Analysis

Table of Contents

Introduction
2:13 mins
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Section 1:Basic Concepts of Image Processing
 
Lesson 1:Use of Digital Images in Medicine
25:19 mins
 
Lesson 2:Medical Imaging in the 20th and 21st Centuries
18:18 mins
 
Lesson 3:Use of Excel for Simple Image Manipulations
16:01 mins
 
Section 2:Digital Images and Their Formats: Color Representation
 
Lesson 4:Pixels and Vowels
26:09 mins
 
Lesson 5:Image Processing and Possibilities of Computer-Assisted Diagnosis
55:51 mins
 
Lesson 6:Manipulations with Color Images in Excel
11:07 mins
 
Section 3:Basics of Image Analysis: Edge Detection
 
Lesson 7:Main Stages of Automated Image Analysis
28:33 mins
 
Lesson 8:Brightness and Color Gradients Detection
10:23 mins
 
Lesson 9:Simple Algorithms of Edge Detection Using Excel
8:04 mins
 
Section 4:Basics of Image Recognition
 
Lesson 10:Basic Concepts of Image Recognition Theory
17:50 mins
 
Lesson 11:Several Examples of Image Recognition
17:15 mins
 
Lesson 12:Approaches of Image Recognition Using Excel
8:52 mins