Synthetic CT image generation of shape-controlled lung cancer using semi-conditional InfoGAN and its applicability for type classification.
Ryo TodaAtsushi TeramotoMasakazu TsujimotoHiroshi ToyamaKazuyoshi ImaizumiKuniaki SaitoHiroshi FujitaPublished in: Int. J. Comput. Assist. Radiol. Surg. (2021)
Keyphrases
- lung cancer
- image generation
- lung nodules
- diagnosis of lung cancer
- cancer diagnosis
- survival prediction
- machine learning
- lymph nodes
- lung cancer patients
- pulmonary nodules
- three dimensional
- pet ct
- medical images
- ct images
- computed tomography
- shape model
- high resolution
- computer vision
- x ray
- multi view
- image segmentation
- feature selection