Deep Learning Toolkit for Medical Analysis - [Repo]
Nick Pawlowski manages the github repo DLTK, which stands for Deep Learning Toolkit. As the name implies, it's a set of tools of deep learning used for medical image analysis. There are currently 5 team members contributing to DLTK.
DLTK is a higher-level library written in Python, on top of TensorFlow. According to the official website:
"Its modular architecture is closely inspired by sonnet and it was developed to enable fast prototyping and ensure reproducibility in image analysis applications, with a particular focus on medical imaging. " [source]
The purpose of DLTK is to serve the community with methods and models that would help the progress of research in this field.
Its current library includes pretrained models on medical images and some of the network architectures are:
- deepmedic
- densenet
- VGG
- super-resolution network
For more information about this toolkit, see their official guide below:
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Cristi Vlad Self-Experimenter and Author
Waiting for decentralized medical research, sharing results on the blockchain minus the interpretations and with full discloure into the parramaters - then we may actually begin to learn again, rather than just pushing commodities around with fear.