Effective encoder-decoder neural network for segmentation of orbital tissue in computed tomography images of Graves' orbitopathy patients.
Seung Hyeun LeeSanghyuck LeeJaesung LeeJeong Kyu LeeNam Ju MoonPublished in: PloS one (2023)
We concluded that our proposed NN exhibited an improved CT image segmentation for GO patients over conventional NNs designed for semantic segmentation tasks.
Keyphrases
- deep learning
- computed tomography
- end stage renal disease
- convolutional neural network
- ejection fraction
- chronic kidney disease
- newly diagnosed
- positron emission tomography
- peritoneal dialysis
- neural network
- magnetic resonance imaging
- prognostic factors
- machine learning
- patient reported outcomes
- working memory
- patient reported
- image quality