CauseNet: Towards a Causality Graph Extracted from the Web
-
Updated
Mar 13, 2021 - Jupyter Notebook
CauseNet: Towards a Causality Graph Extracted from the Web
Extraction of graphs from skeletonised images.
Generates training data for graph extraction.
Hateful Meme challenge, Knowledge graph based approach
GUI for visualising graph extraction on skeletonised images.
CauseNet: Towards a Causality Graph Extracted from the Web
Machine Learning for Medical Image Processing. Project done for Charité, the university hospital of Berlin. The aim was to segment coronary arteries and then extract a graph from it, in order to aid detection of coronary artery disease (CAD).
Processing of bibliographic files
Add a description, image, and links to the graph-extraction topic page so that developers can more easily learn about it.
To associate your repository with the graph-extraction topic, visit your repo's landing page and select "manage topics."