DeepMets®

This repository contains the inference code for DeepMets on Python3 and Pytorch. This project is recently co-developed by Taiwan AI Labs and Taipei Veterans General Hospital. DeepMets trained on 1029 in-house T1 contrast-enhanced MRI dataset generates segmentation mask for brain metastasis.

How to obtain license and model weights

If you wish to obtain the license, model weights, data or other further information for DeepMets, please contact us (contact@taimedimg.tw).

How to run the code

python main.py --dataset <DATA_FILE> --checkpoint <CKPT_FILE> --license <LICENSE_FILE> --output-path <OUTPUT_FOLDER>

• DATA_FILE: A .csv or .txt file that contains paths of folder (with multiple dicom files inside) that you want to inference.
• CKPT_FILE: Path of checkpoint file.
• LICENSE_FILE: Path of license file.
• OUTPUT_FOLDER: Path to save inference results.