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ct-lung-segmentation's Introduction

CT-Lung-Segmentation

This repository contains a Pytorch implementation of Lung CT image segmentation Using U-net

UNet

Figure 1: Original CT images CT-images

Figure 2: Ground-truth Segmentation Mask GroundTruth Mask

Figure 3: Predicted Segmentation Mask Prediction Mask

Requirement

jupyter

numpy

opencv-python

Pillow

torch

torchvision

tqdm

pip install -r requirements.txt

Dataset

  1. Download the data from Kaggle/Finding and Measuring Lungs in CT Data
  2. With totally 267 CT slices, I randomly select 200 slices for training and 67 for testing

ct-lung-segmentation's People

Contributors

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