A pix2pix GAN is used for autonomous segmentation of epicardial and mediastinal cardiac fat from CT images, reporting average accuracies of 99.08% and 97.90% with f1-scores above 98% and real-time performance.
Morphological classifiers
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Cardiac fat segmentation using computed tomography and an image-to-image conditional generative adversarial neural network
A pix2pix GAN is used for autonomous segmentation of epicardial and mediastinal cardiac fat from CT images, reporting average accuracies of 99.08% and 97.90% with f1-scores above 98% and real-time performance.