A machine learning framework for extracting information from biological pathway images in the literature
Authors/Creators
Description
Training and validation datasets_arrow detection.zip:
Training and validation datasets for arrow detection using Faster R-CNN model. A total of 6,471 images have been prepared, including 2,332 images from five different sources and 4,139 augmented images.
Test dataset_arrow detection.zip:
Test dataset for arrow detection using Faster R-CNN model. A total of 100 images have been prepared from 89 papers searched through PubMed Central (PMC).
EBPI outputs.txt:
Reaction information extracted using EBPI from 49,846 biological pathway images across 466 target chemicals.
Files
EBPI outputs.txt
Additional details
Software
- Repository URL
- https://github.com/kaist-sbml/EBPI