SOTAVerified

Medical Image Generation

Medical image generation is the task of synthesising new medical images.

( Image credit: Towards Adversarial Retinal Image Synthesis )

Papers

Showing 2130 of 78 papers

TitleStatusHype
Evaluating the Clinical Realism of Synthetic Chest X-Rays Generated Using Progressively Growing GANsCode1
Melanoma Detection using Adversarial Training and Deep Transfer LearningCode1
Skin Lesion Synthesis with Generative Adversarial NetworksCode1
NiftyNet: a deep-learning platform for medical imagingCode1
Pixel Perfect MegaMed: A Megapixel-Scale Vision-Language Foundation Model for Generating High Resolution Medical Images0
Med-Art: Diffusion Transformer for 2D Medical Text-to-Image Generation0
Metrics that matter: Evaluating image quality metrics for medical image generationCode0
Causal Disentanglement for Robust Long-tail Medical Image Generation0
seg2med: a bridge from artificial anatomy to multimodal medical images0
Language-Guided Trajectory Traversal in Disentangled Stable Diffusion Latent Space for Factorized Medical Image Generation0
Show:102550
← PrevPage 3 of 8Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1StyleGANFID24.74Unverified
2StyleGAN2 with DiffAugmentFID21.42Unverified
3StyleGAN2-ADAFID21.17Unverified
#ModelMetricClaimedVerifiedStatus
1StyleGANFID29.06Unverified
2StyleGAN2-ADAFID10.78Unverified
3StyleGAN2 with DiffAugmentFID4.62Unverified
#ModelMetricClaimedVerifiedStatus
1Progressive Growing GANFID8.02Unverified
2StyleGAN2-ADAFID3.52Unverified
#ModelMetricClaimedVerifiedStatus
1StyleGAN2 with DiffAugmentFID3.07Unverified
#ModelMetricClaimedVerifiedStatus
1DCGANFrechet Inception Distance1.29Unverified