Fig. 1. Research work flow of contrast enhanced CT image generation.
Fig. 2. CT and contrast enhanced CT image information.
Fig. 3. Scheme of image generative deep learning network with generator and discriminator
Fig. 4. Represent of CT and contrast enhanced CT image
Fig. 5. Generation of contrast enhanced CT results. (A) CT image (input data), (B) Contrast enhanced CT image (target data), (C) generated CT image without histogram equalization, (D) generated result image with histogram equalization.
Fig. 6. Paired sample t-test of synthesized contrast enhanced CT image with and without histogram equalization.
Fig. 7. Lymph node short and long axis ratio (S/L) of CT, contrast enhanced CT, and generated contrast enhancedCT image.
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