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LDCTIQAC-Machine-Learning

This is a Jupyter notebook containing five machine learning methods to select the best from for the Low-dose Computed Tomography Image Quality Asseessment Challenge. More information on the challenge can be found at https://ldctiqac2023.grand-challenge.org/.

The code is contained in the CS-460G LDCTIQAC Final.ipynb file. The presentation and report created for the project are available in their respective folders.

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This is a Jupyter notebook containing five different machine learning approaches to grading the quality of low-dose CT scans.

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