Cardiac fat segmentation using computed tomography and an image-to-image conditional generative adversarial neural network

ArXi:2605.20064v1 Announce Type: new In recent years, research has highlighted the association between increased adipose tissue surrounding the human heart and elevated susceptibility to cardiovascular diseases such as atrial fibrillation and coronary heart disease. However, the manual segmentation of these fat deposits has not been widely implemented in clinical practice due to the substantial workload it entails for medical professionals and the associated costs.