Keras: The Python Deep Learning library: https://keras.io/
Matplotlib library: https://matplotlib.org/
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift: https://arxiv.org/abs/1502.03167
Feature Visualization. How neural networks build up their understanding of images: https://distill.pub/2017/feature-visualization/
Feature Visualization: https://research.google/pubs/pub46832/
Exploring Neural Networks with Activation Atlases: https://distill.pub/2019/activation-atlas/
Useful links from ‘Biomedical Image Analysis in Python’ course on DataCamp by Stephen Bailey.
About The Cancer Imaging Archive (TCIA): https://www.cancerimagingarchive.net/about-the-cancer-imaging-archive-tcia/
An operational data store is used for operational reporting and as a source of data for the Enterprise Data Warehouse (EDW). It is a complementary element to an EDW in a decision support landscape, and is used for operational reporting, controls and decision making, as opposed to the EDW, which is used for tactical and strategic decision support. (https://en.wikipedia.org/wiki/Operational_data_store)
A collection with the links on Operational Data Stores (ODS).