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Found 5 papers, 3 papers with code
Domain Knowledge Driven 3D Dose Prediction Using Moment-Based Loss Function
Model with (MAE + Moment) loss function outperformed the model with MAE loss by significantly improving the DVH-score (11%, p$<$0. 01) while having similar computational cost.
CIRDataset: A large-scale Dataset for Clinically-Interpretable lung nodule Radiomics and malignancy prediction
Spiculations/lobulations, sharp/curved spikes on the surface of lung nodules, are good predictors of lung cancer malignancy and hence, are routinely assessed and reported by radiologists as part of the standardized Lung-RADS clinical scoring criteria.
Deep Learning 3D Dose Prediction for Conventional Lung IMRT Using Consistent/Unbiased Automated Plans
Moreover, any changes in the clinical criteria requires a new set of manually generated plans by planners to build a new prediction model.
An Efficiently Coupled Shape and Appearance Prior for Active Contour Segmentation
This paper proposes a novel training model based on shape and appearance features for object segmentation in images and videos.
Multitask 3D CBCT-to-CT Translation and Organs-at-Risk Segmentation Using Physics-Based Data Augmentation
Treatment planning is done once at the beginning of the treatment using high-quality planning CT (pCT) images and manual contours for organs-at-risk (OARs) structures.
