3-D Reconstruction of Vertebrae From Sparse 2-D CT Data Using Conditional GANs and Transfer Learning
Abstract: A three dimensional reconstruction of vertebrae from CT Scans is necessary for surgical planning, medical teaching and diagnosis. Traditional methods are computationally expensive, while ...
Abstract: Recent advances in explainable machine learning have highlighted the potential of sparse autoencoders in uncovering mono-semantic features in densely encoded embeddings. While most research ...
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