SOTAVerified

Medical Image Generation

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

( Image credit: Towards Adversarial Retinal Image Synthesis )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 61–70 of 78 papers

TitleStatusHype
ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact ReductionCode0
Generation of Artificial CT Images using Patch-based Conditional Generative Adversarial NetworksCode0
Robust deep learning for eye fundus images: Bridging real and synthetic data for enhancing generalizationCode0
UWAFA-GAN: Ultra-Wide-Angle Fluorescein Angiography Transformation via Multi-scale Generation and Registration EnhancementCode0
GAN-GA: A Generative Model based on Genetic Algorithm for Medical Image GenerationCode0
Devil is in Details: Locality-Aware 3D Abdominal CT Volume Generation for Self-Supervised Organ SegmentationCode0
GANetic Loss for Generative Adversarial Networks with a Focus on Medical ApplicationsCode0
Backdoor Attack is a Devil in Federated GAN-based Medical Image SynthesisCode0
MemControl: Mitigating Memorization in Diffusion Models via Automated Parameter SelectionCode0
Metrics that matter: Evaluating image quality metrics for medical image generationCode0
Show:102550
← PrevPage 7 of 8Next →
All datasetsACDCSLIVER07ChestXray14 1024x1024ChestX-ray14Chest X-Ray Images (Pneumonia)

Benchmark Results

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