Medical professionals process an overwhelming amount of information each and every day. Computer vision eases this burden by streamlining diagnostic and procedural operations.
Create a Computer Vision Model in Three Easy Steps
You won’t need to hire a machine learning engineer to implement your own working computer vision model.
Identify Problems Needing An Extra Set of Eyes
Scan an image or video feed and instantly detect objects, classify items, or recognize changes in scenery. Computer vision can assist with common, repetitive tasks and, in some cases, replace human involvement altogether.
Collect and Label Images For Training
Images from ultrasounds, x-rays, endoscopy, thermography, MRIs, and security feeds can all be used to train a computer vision model. You can label this data yourself or outsource these tasks to labeling services. Either way, you get one step closer to training your model.
Continuously Improve and Scale Your Model After Implementation
After uploading your images to Roboflow, we make it easy to train your model and implement it in a medical setting. Once your model is live, Roboflow can help you improve its accuracy and even add additional items to detect.
Get The Most Out of Your Medical Images
Roboflow is specifically designed to create more accurate computer vision models using fewer images.
If you don't have your own imagery, you can still experiment with computer vision. Roboflow hosts dozens of public datasets including BCCD, an object detection dataset containing images of blood cells.
Labeling and Training Integrations
We integrate directly with the most popular labeling and training services. This provides you with flexibility when it comes to implementing your model on various devices.
Create more training data without uploading more images. Improve model accuracy from different angles or views by generating skewed or distorted versions of your source images.
Privacy and Security
Roboflow has the ability to sign Business Associate Agreements (BAAs) with companies in the healthcare industry, which must adhere to HIPAA regulations. We leverage enterprise-grade security, including AES 256-bit encryption. And unlike many machine learning platforms, your data remains yours.
Ready to start building your own healthcare computer vision model?