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 11–20 of 78 papers

TitleStatusHype
NiftyNet: a deep-learning platform for medical imagingCode1
Correction of out-of-focus microscopic images by deep learningCode1
Latent Diffusion Autoencoders: Toward Efficient and Meaningful Unsupervised Representation Learning in Medical ImagingCode1
Data-Efficient Unsupervised Interpolation Without Any Intermediate Frame for 4D Medical ImagesCode1
Diffusion Deformable Model for 4D Temporal Medical Image GenerationCode1
Explainable Diabetic Retinopathy Detection and Retinal Image GenerationCode1
GenerateCT: Text-Conditional Generation of 3D Chest CT VolumesCode1
MammoGANesis: Controlled Generation of High-Resolution Mammograms for Radiology EducationCode1
Melanoma Detection using Adversarial Training and Deep Transfer LearningCode1
Medical diffusion on a budget: Textual Inversion for medical image generationCode1
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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