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: International journal of computer assisted radiology and surgery (2021)
The applicability of semi-conditional InfoGAN for feature learning and representation in medical images was demonstrated in this study. InfoGAN can perform constant feature learning and generate images with a variety of shapes using a small dataset.