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3d-multi-resolution-model-for-diagnosis-of-multiple-pathological-types-on-pulmonary-nodules's Introduction

3D Multi resolution Deep Learning Model for Diagnosis of Multiple Pathological Types on Pulmonary Nodules

This repository contains the Keras implementation using Tensorflow as backend.

Requirements:

Python 3.7.6

numpy 1.18.5

keras 2.3.1

tensorflow 1.15.0

matplotlib 3.1.3

sklearn 0.22.1

scipy 1.4.1

pandas 1.0.1

opencv-python 4.1.1

data:

The data is stored in the link below.

Usage:

  1. Run the code:python transfor2npy.py to extract pulmonary nodules from lung CT.
  2. Run the code:python augmention.py to realize offline data expansion.
  3. If you want to train the model, download the dataset then run the code:python Train_Test_Mutl.py Note that the parameters and paths should be set beforehand.
  4. Once the training is complete, you can modify the Train_Test_Mutl.py file and then run the Train_Test_Mutl.py to test your model.

LICENSE

Code can only be used for ACADEMIC PURPOSES. NO COMERCIAL USE is allowed. Copyright © School of Mechanical,Electrical & Information Engineering, Shandong University. All rights reserved.

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