SOTAVerified

Medical Image Generation

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

( Image credit: Towards Adversarial Retinal Image Synthesis )

Papers

Showing 7178 of 78 papers

TitleStatusHype
Skin Lesion Synthesis with Generative Adversarial NetworksCode1
PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac SegmentationCode0
Generative Adversarial Network in Medical Imaging: A ReviewCode2
Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks0
Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNITCode0
NiftyNet: a deep-learning platform for medical imagingCode1
Synthetic Medical Images from Dual Generative Adversarial NetworksCode0
Towards Adversarial Retinal Image SynthesisCode0
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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