We have developed a deep learning algorithm that quickly and automatically segments medical images. We are currently developing a web-platform that harnesses the power of our algorithm, allowing users to store and segment medical images. Contact Us to try it out for free.

EASY UPLOAD

Our intuitive drag and drop platform allows you to upload and automatically segment your images with the click of a button. It’s your choice.

EASY UPLOAD

Our intuitive drag and drop platform allows you to upload and automatically segment your images with the click of a button. It’s your choice.

VIEW RESULTS

Have confidence in the results by seeing them with your own eyes. With the click of a button view your original image and an overlay of the resulting segmentations, all in your web browser.

VIEW RESULTS

Have confidence in the results by seeing them with your own eyes. With the click of a button view your original image and an overlay of the resulting segmentations, all in your web browser.

FAST DOWNLOAD

Immediately following analysis, segmented images and quantitative measures like volume and thickness will be available for download. Choose to download a dicom file of the segmentation, the compiled statistics, or both. Your data, your way!

FAST DOWNLOAD

FEATURES

ARTIFICIAL INTELLIGENCE

ON-DEMAND RESULTS

CLOUD STORAGE

DATA
SECURITY

NeuralSeg uses a unique deep learning algorithm to segment your images. The use of deep learning is what enables fast and accurate results.

Our web-platform means that you can get as many segmentations as you want, when you want them. Analyze a single image for pilot testing, small batches of data for a conference abstract, or bulk batches for population based investigations.

All accounts include 10GB of cloud storage free of charge. Need more storage? Affordable solutions are available to fit any users needs.

We use advanced encryption methods to ensure your data is always secure. Because you can never be too safe, we automatically remove any potentially identifiable information from all uploaded images.