Synthetica: Medical Image Cleanup + Synthetic Augmentation (In-Browser)
Автор: ML in Health Science
Загружено: 2025-12-30
Просмотров: 47
Описание:
Synthetica turns messy real-world medical images into ML-pipeline-ready data — combining artifact cleanup (overlays/text, UI frames, borders, improper crops when possible) with realistic synthetic variants for dataset augmentation.
In this demo, we process a heavily artifacted shoulder X-ray and generate cleaned output + synthetic copies while preserving the pathology.
Key features:
Runs directly in your browser (no installation)
Auto-detect or select modality (radiology, microscopy, macroscopy)
Generate 1–4 images per upload
Results appear instantly + email with a permanent session link
1 image = 1 credit
https://mlhs.ink/synthetica
#Synthetica #MedicalImaging #ComputerVision #MedicalAI #DatasetAugmentation #RadiologyAI #Xray #Microscopy #DigitalHealth #MachineLearning #AIinHealthcare #DeIdentification #DataCleanup #SyntheticData #MLinHealthScience
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