kaledhoshme123/VAE-CycleGAN-MRI-CT-Scan-Images
The study works on generating CT images from MRI images, where unsupervised learning was used using VAE-CycleGan. Since the number of samples included in the data set used in the study, and therefore in this case we are in a state of epistemic uncertainty, therefore probabilistic models were used in forming the latent space.
This project helps medical professionals generate realistic CT scan images from MRI scans, and vice-versa, when only one type of scan is available. By inputting an MRI image, it can produce a corresponding CT image, aiding in medical diagnosis and planning. This tool is designed for radiologists, clinicians, or researchers working with medical imaging.
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Use this if you need to synthesize a CT scan from an existing MRI, or an MRI from a CT, especially when dealing with limited imaging data.
Not ideal if you require perfectly accurate conversions for critical diagnostic purposes, as the model's performance is affected by small datasets.
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MIT
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Last pushed
Sep 23, 2024
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