Cardiac MRI Image Segmentation
The aim of this project is to build a predictive model that could classify each pixel in a cardiac MRI image based on whether the pixel is a part of the left ventricle (LV) or not.
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The Challenge
In medical imagery analysis it is often important to separate the pixels corresponding to different types of tissue, blood or abnormal cells so that we can isolate a particular organ. In this project I used the TensorFlow machine learning framework to train and evaluate an image segmentation network using a medical imagery dataset.
A working app of the project can be found here
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