| license: mit | |
| base_model: | |
| - google/efficientnet-b3 | |
| # gapclosure-quantify-unet | |
| This repository contains the trained models for automated scratch assay quantification, | |
| allowing to the timelapse imaging of collective epithelial cell migration in a timely | |
| fashion. | |
| It employs a U-Net EfficientNet-B3 architecture, and is trained on 173 images | |
| with a validation set of about 35 images. | |
| ## Details | |
| Scripts can be found on this [GitHub Repository](https://github.com/nwoodweb/gapclosure-quantify.git) | |
| LAST UPDATE: 1635 UTC 27 JULY 2026 |