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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

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Showing 11–20 of 78 papers

TitleStatusHype
Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving TrendCode1
UWAT-GAN: Fundus Fluorescein Angiography Synthesis via Ultra-wide-angle Transformation Multi-scale GANCode1
GenerateCT: Text-Conditional Generation of 3D Chest CT VolumesCode1
Medical diffusion on a budget: Textual Inversion for medical image generationCode1
SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image GenerationCode1
Diffusion Deformable Model for 4D Temporal Medical Image GenerationCode1
Correction of out-of-focus microscopic images by deep learningCode1
Explainable Diabetic Retinopathy Detection and Retinal Image GenerationCode1
Overcoming Barriers to Data Sharing with Medical Image Generation: A Comprehensive EvaluationCode1
MammoGANesis: Controlled Generation of High-Resolution Mammograms for Radiology EducationCode1
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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