Towards Unsupervised Ultrasound Video Clinical Quality Assessment with Multi-Modality Data

Code for MICCAI 2022 paper Towards Unsupervised Ultrasound Video Clinical Quality Assessment with Multi-Modality Data

Authors: He Zhao, Qingqing Zheng, Clare Teng, Robail Yasrab, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble

Environment

python version 3.6.8 pytorch version 1.10.0

You should prepare your only dataset first and run the train.sh file.

Run the test.sh file.

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
dataFile		dataFile
models		models
options		options
utils		utils
README.md		README.md
test.py		test.py
test.sh		test.sh
train.py		train.py
train.sh		train.sh