TandemNet

This is the implementation for MICCAI 2017 oral paper titled "TandemNet: Distilling Knowledge from Medical Images Using Diagnostic Reports as Optional Semantic References", Zizhao Zhang et al.

Simple instructions of training the model

Prepare your training data

TandemNet takes images and corresponding text (diagnosic reports) as inputs. You need to write your own DataLoader.lua. An example with explanations has been provided in utils/DataLoader.lua.

Training

sh scripts/train.sh

Evaluation

sh scripts/eval.sh

All results will be saved in the folders inside checkpoints/tandemnet.

Please consider to cite the paper if it is useful

@inproceedings{Zhang2017TandemNet,
title={TandemNet: Distilling Knowledge from Medical Images Using Diagnostic Reports as 
Optional Semantic References},
author={Zhang, Zizhao and Chen, Pingjun and Sapkota, Manish and Yang, Lin},
booktitle={International Conference on Medical Image Computing and 
    Computer-Assisted Intervention (MICCAI)},
year={2017} 
}