Lung Lobe Segmentation Challenge Using Deep Learning

This is an example of the CT imaging is used to segment Lung Lobe.

Prerequisities

The following dependencies are needed:

• numpy >= 1.11.1
• SimpleITK >=1.0.1
• tensorflow-gpu ==1.14.0
• pandas >=0.20.1
• scikit-learn >= 0.17.1

How to Use

1、Preprocess

• download CT Lung Lobe data:https://github.com/deep-voxel/automatic_pulmonary_lobe_segmentation_using_deep_learning
• generate patch(144,112,112) image and mask image:run the data3dprepare.py

2、Lung Lobe Segmentation

• the Vnet3d model can find here:https://github.com/junqiangchen/VNetFamily
• train and predict in the script of train.py and inference.py

Result

• train loss and train accuracy

• test dataset segmentation result：left is groundtruth,right is predict

• more detail can follow my WeChat Public article.

Contact

• https://github.com/junqiangchen
• email: [email protected]
• Contact: junqiangChen
• WeChat Number: 1207173174
• WeChat Public number: 最新医学影像技术