Abstract: Over the past decades, there has been a surge of interest in studying low-dimensional structures within high-dimensional data. Statistical factor models (i.e., low-rank plus diagonal ...
Abstract: A deep learning-based model was trained to identify and suppress the scatter contributions in Cone Beam Computed Tomography (CBCT) images. The model was trained with CBCT projections ...
public_version/ ├── cell_classfication/ # Cell classification module │ ├── train.py # Train cell classification model │ ├── pred_cell_label.py # Predict cell labels │ ├── get_data.py # Data loading ...
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