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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 51–60 of 78 papers

TitleStatusHype
Evaluating the Performance of StyleGAN2-ADA on Medical Images—0
Inflating 2D Convolution Weights for Efficient Generation of 3D Medical Images—0
Backdoor Attack is a Devil in Federated GAN-based Medical Image SynthesisCode0
Diffusion Deformable Model for 4D Temporal Medical Image GenerationCode1
Generation of Artificial CT Images using Patch-based Conditional Generative Adversarial NetworksCode0
Correction of out-of-focus microscopic images by deep learningCode1
BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pixCode2
Robust deep learning for eye fundus images: Bridging real and synthetic data for enhancing generalizationCode0
Explainable Diabetic Retinopathy Detection and Retinal Image GenerationCode1
GANs for Medical Image Synthesis: An Empirical Study—0
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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