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Introduction
Generate synthetic medical imaging datasets with advanced AI
Overview
Sinkove provides a powerful web platform for generating synthetic medical imaging datasets leveraging advanced generative AI, primarily diffusion models. Users can easily create customized datasets suitable for AI model training and research.
Quick Start
Get started generating your first synthetic medical imaging dataset
Python SDK
Download and manage datasets programmatically with our Python SDK
Key Features
Advanced Generative AI
Leverage state-of-the-art diffusion models for high-quality synthetic medical images
Customizable Datasets
Configure datasets with specific medical conditions and imaging parameters
API Integration
Seamlessly integrate with your workflows using our REST API
Research Ready
Perfect for AI model training, research, and educational purposes
Getting Started
Ready to create your first synthetic medical imaging dataset? Our platform makes it simple:
Select a Model
- Choose from our collection of advanced generative models
Configure Parameters
- Specify medical conditions and imaging requirements
Generate Data
- Create preview samples or full datasets up to 1000 images
Download Results
- Use our Python SDK for efficient dataset management
Start Creating Datasets
Follow our quick start guide to generate your first synthetic dataset in minutes
Quick Start Guide
Generate your first synthetic medical imaging dataset
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Responses are generated using AI and may contain mistakes.