Sinkove Platform

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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

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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

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Getting Started

Ready to create your first synthetic medical imaging dataset? Our platform makes it simple:
  1. Select a Model - Choose from our collection of advanced generative models
  2. Configure Parameters - Specify medical conditions and imaging requirements
  3. Generate Data - Create preview samples or full datasets up to 1000 images
  4. 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

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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