In this study, we leverage recent advancements in geometric deep learning and denoising diffusion probabilistic models to refine the segmentation results of the large intestine.
Model performance on virtual CT and CXR images was comparable to overall results on clinical data.
Correct evaluation and treatment of Scoliosis require accurate estimation of spinal curvature.
We evaluate our proposed model on two publicly available datasets, namely ISIC-2017 and PH2.
The outcome of the research indicates that for the IBSR18 data-set, pre-processing and proper tuning of hyper-parameters for NeuroNet model have improvement in DSC for the brain tissue segmentation.