SemanticMD Cloud Compute

Deep learning APIs and web-based classifier management


Train and update deep learning models with ease.

How much time do you spend wrangling data, managing file I/O, and rewriting the same sampling and image pre-processing code? We've made it easy to upload data and instantly train a state-of-the-art network (e.g. ResNet (2016), GoogLeNet (2015), etc.) without writing a single line of code. This greatly speeds up the process and allows you to iterate quickly with different types of deep learning networks including custom models you design.

Custom image processing for every modality.

How you segment, de-noise, and augment medical imaging data can make a big difference regardless of your choice of deep learning network. We've taken out a lot of the guesswork by including modality-specific pre-processing steps so you can focus on building the best deep learning model.

Click below to see an example pipeline.

View Example

Key features