Overview
Sinkove provides a powerful 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, clinical trials and general research around medical imaging. We provide a python SDK and a web application to interact with our AI models.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
SDK & Examples
Ready-to-use Python SDK with practical examples for rapid integration
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
Developer Resources
Install SDK
Set up the Python SDK in your environment
SDK Examples
Browse practical code examples and patterns
API Reference
Complete SDK API documentation