Segmentation and analysis of OCT images

This repository is dedicated to the segmentation of optical coherence tomography (OCT) images and the analysis of the plaques that appear on them.

📖 Table of Contents

• Requirements
• Installation

💻 Requirements

• Operating System
  • macOS
  • Linux
  • Windows (limited testing carried out)
• Python 3.11.x
• Required core libraries: environment.yaml

⚙ Installation

Step 1: Install Miniconda

Installation guide: https://docs.conda.io/projects/miniconda/en/latest/index.html#quick-command-line-install

Step 2: Clone the repository and change the current working directory

git clone https://github.com/ViacheslavDanilov/oct_segmentation.git
cd oct_segmentation

Step 3: Set up an environment and install the necessary packages

chmod +x make_env.sh
./make_env.sh

📂 Data

Source image	Pre-processed image