Image Segmentation
Collection
This project is derived from the original work in the Nvidia short course on image segmentation
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Input Data Set
The data set you'll be utilizing is a series of cardiac images (specifically MRI short-axis (SAX) scans) that have been expertly labeled. See References [1, 2, 3] for full citation information. Four representative examples of the data are shown below. Each row of images is an instance of the data. On the left are the MRI images and the right are the expertly-segmented regions (often called contours). The portions of the images that are part of the LV are denoted in white. Note that the size of LV varies from image to image, but the LV typically takes up a relatively small region of the entire image.
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