NeuriteNet is a machine learning platform developed to identify differences in control and experimental groups of cultured neurons based on morphological criteria
This repository has the python code for training and running the NeuriteNet model as well as additional tools for deep learning interpretability. For more details, please check the bioRxiv pre-print:
- TensorFlow 2.0+
- tqdm
- NumPy
- OpenCV
- Scikit-Image
- tqdm