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OCT-A-quality-improvement-for-Maestro2

Project information:

Project NO.: 2021*****

Contributor: Shiyi Liu

Timeline: 2021 Q2 - 2021 Q4

Description:

Aim:

improve the quality of Maestro2 OCT(A) images by developing deep learning models without requirement of repeated scans

History version:

7/1/2021, Shiyi Liu, initial test, test new dataset on the built model.

7/2/2021, Shiyi Liu, development, a new model ** added.

Environment requirements

  • Linux
  • Python with numpy
  • NVIDIA GPU + CUDA 8.0 + CuDNNv5.1
  • TensorFlow 0.11

Usage

  • Clone this repo:
git clone [email protected]:shiyiliu/******
  • Download the dataset:
\\oak-rdshare\dataset
  • Pull the Docker image:
\\oak-rdshare\docker\shiyi_test:test.tar

or:

docker push shiyiliu/shiyi_test:tagname
  • Environment setup:
Docker load –-input location/shiyi_test:test.tar
  • Train the model:
python main.py --phase train

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