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Medical Image Processing Techniques

HTML 45.96% MATLAB 2.54% M 0.06% Objective-C 0.01% Jupyter Notebook 51.44%
matlab image-processing thresholding morphological-analysis filters matlab-functions

medical-imaging's Introduction

Medical Image Processing

Output of the project can be found here Segmentation of cancer tissue from MRI DICOM file

Concepts Applied

Image Processing in Clinical Practice
Image Representation
Operations in Intensity Space
Filtering and Transformations
Segmentation
Spatial Transforms
Rendering and Surface Models
Registration
CT Reconstruction
Region growing
Region growing in 3D
Erosion and dilation
Opening and Closing
Radon Transform
Fourier Transfor
Smoothing/ Shapening/ Edge Detection
Sobel Filter
ITF/k-space
2D/3D Plotting

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