Synthetic CT image generation of shape-controlled lung cancer using semi-conditional InfoGAN and its applicability for type classification
ConclusionThe 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.
Source: International Journal of Computer Assisted Radiology and Surgery - Category: Intensive Care Source Type: research
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