Biomedical · Course

Introduction to Medical Image Processing

Learn all about the basics of Medical Image Processing in this 3 months course.

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Duration: 6 weeks
Content: 13 hours
Projects: 1
Mode: Online

Overview

What you'll
be able to do.

This course deals with the core domain of Image processing applied to the healthcare/medical community.
It mainly involves processing and analytical techniques applied to images obtained from a multitude of modalities in the broad spectrum of healthcare.

Tools you'll use

PythonC++

Curriculum

6 modules,
built with industry.

01Introduction to Medical Image Processing6 modules
1. Module 1 - Introduction to Digital Image ProcessingW01
  - Image Processing Fundamentals
  - What is a Digital Image?
    
    Classification of Imaging Systems
    
    Interaction of Steps in Image Processing
  - Components of Image Processing System
  - Image Sensing
    
    Creation of 2D Image
    
    Creation of 3D Image
  - Digital Image Acquisition
  - Image Sampling and Quantization
  - Image Quality Metrics
  - Noise In Image
  - Digital Imaging and Communications in Medicine (DICOM)
  - DICOM File Format
  - Slicer Software Introduction
  - Reading and Visualizing DICOM Files
2. Module 2 - Medical Image FormatsW02
  - What is a Medical Image?
  - Components of Medical Image
  - Digital Imaging and Communications in Medicine
  - DICOM Elements and Objects
  - Neuroimaging Informatics Technology Initiative
    
    NIfTI components
  - Simple ITK - DICOM Data Handling
  - NiBabel - NIfTI Data Handling
  - Slicer 3D Visualization
  - Supplementary Slides
3. Module 3 - Mathematics for Image ProcessingW03
  - Relationship Between Pixels
  - Mathematical Tools
  - Image Transforms
  - Intensity Transformation
  - Histogram Processing
  - Spatial Filtering
  - Non-Linear Filters
  - Frequency Domain Filtering
4. Module 4 - Image Pre-processingW04
  - What is a Digital Image?
  - Gray Scale and Colour Image
  - Histogram of an Image
  - Histogram Sliding
  - Histogram Stretching
  - Histogram Equalization
  - Image Enhancement
  - Image Thresholding
  - Adaptive Thresholding
  - Otsu’s Thresholding
  - What are Morphological Operations?
  - Mathematical Morphology
  - Erosion
  - Dilation
  - Image Opening and Image Closing
  - Morphological Gradient
  - Morphological Algorithms
  - Boundary Extraction
5. Module 5 - Image De-noisingW05
  - Image De-Noising Fundamentals
    
    What is Noise?
    
    Noise in Medical Imaging
    
    Noise Models
  - Different Types of Noise
    
    Gaussian Noise
    
    Impulse Noise - Salt and Pepper Noise
    
    Poisson Noise
    
    Speckle Noise
  - Noise Distributions in Different Modalities
  - Image Denoising
  - Image Denoising Techniques
    
    Linear Filters and Non-linear Filters
    
    Gaussian Filter
    
    Mean Filter
    
    Bilateral Filter
    
    Non-local Means
6. Module 6 - Image Texture Extraction and ApplicationsW06
  - What is Texture?
  - Texture Analysis
    
    Texture Classification
    
    Texture Segmentation
    
    Texture Synthesis
    
    Texture Shape
  - Challenges in Texture Analysis
  - Statistical Methods-Based Approach
  - Gray Level Co-occurrence
  - Numeric Features of GLCM
  - Fourier Approach for Texture Descriptor Concept
  - Autocorrelation Function
  - Gabor Filter
  - Gabor Filter Bank
  - Classification Phase
  - K-Nearest Neighbor (KNN)
  - Image Classification Metrics
  - Image Texture Analysis
  - Region Based Texture Segmentation
  - Texture Edge Detection

Industry projects

1 projects
you'll ship.

Our projects are designed by experts in the industry to reflect industry standards. By working through our projects, Learners will gain a practical understanding of what they will take on at a larger-scale in the industry. In total, there are 1 Projects that are available in this program.

Internal investigation of the medical images to recognize the features present

The purpose of this project is to explore some simple image enhancement algorithms. It introduces spatial and frequency domain filters, which involve learners applying conceptual k…

Fee

One fee.
Everything included.

Become job ready with our comprehensive industry focused curriculum for freshers & early career professionals

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₹40,000

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1 Year Access
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Personalized & Hands-On
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Introduction to Medical Image Processing

What you'llbe able to do.

6 modules,built with industry.

1 projectsyou'll ship.