Biomedical applications generate images from:
CT scans (Computed Tomography)
MRI (Magnetic Resonance Images)
FMRI (Functional Magnetic Resonance Images)
DMRI (Diffusion Magnetic Resonance Images)
EM (Electron Microscopy)
Other sources for biological or medical purposes
Efficiently storing petabyte-scale data has been a significant challenge. Activeloop offers a TensorDB, array data warehouse solution tailored for storing large volumes of array-like data specialized for biomedical image processing.
Intelligently querying the data hasn’t been possible. Activeloop offers an Array-SQL solution that helps to query by specifying the image meta-type.
It offers building plug-in-play data pipelines and efficiently generating datasets to train deep learning models for disease classification, tumor detection, and other problems.
Activeloop will connect to your current storage, ingest the data, and show you the results within days.
Our team of machine learning experts will help you with data pre-processing, model selection, feature engineering support as much or as little as you need.
Enterprise-grade cloud computing optimized down to cents. Leverages the most cost-efficient resources such as spot instances.