Phrungck/myocardial-infarction-detection

A baseline/jump-off project for segmentation of cardiac regions and detection of myocardial infarction. Dataset used: https://www.kaggle.com/datasets/aysendegerli/hmcqu-dataset

Detection of Myocardial Infarction Using Computer Vision and Deep Learning Techniques (2020)

This work is just a two-week exercise to kick-off my research in 2D echocardiography. This repository contains the scripts for Harris Corner Detector, Histogram of Oriented Gradients (HOG), LSTM, image enhancements, and many more. Also wrote a paper describing my work: https://github.com/Phrungck/myocardial-infarction-detection/blob/main/Paper.pdf

Image Manipulations

• Gaussian Blur
• Gray-level slicing
• Otsu Thresholding

Moving Points Extraction

Homography Matching

Matched feature points between an index frame and subsequent frames.

Model Framework

Dependencies

• numpy
• torch
• opencv
• pandas
• os
• scipy
• sklearn
• matplotlib
• imblearn