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Low-dose CT image denoising model based on deep learning & CT image Viewer.

License: MIT License

Python 75.79% Jupyter Notebook 24.21%
dicom-viewer pytorch ldct-denoising deep-learning medical-imaging viewer

ldct-denoising-with-deep-learning-and-dicom-viewer's Introduction

LDCT Denoising and Dicom Viewer

Benny 2021.06.06 华西坝

West China School Of Medcine, Sichuan University

1 LDCT Denoise

1.1 Dataset

Low Dose CT Image and Projection Data(LDCT-and-Projection-data) in The Cancer Imaging Archive(TCIA).

1.2 Models

Trained models

  • TS-Net
  • TS-DenseNet
  • RED-CNN_MSE
  • RED-CNN_SSIM

models

1.3 Image Preprocessing

Image_Preprocessing.ipynb Preprocessing

1.4 Example

L123_400_40

1.5 GUI

Graphical User Interface

ED

2 Dicom Viewer

2.1 Introduction

2.2 Parameters

  • Matrix: [64, 2048]
  • Window Width: [1, 4096]
  • Window Level: [-1024, 3071]
  • Save Format: JPG, PNG and BMP.

DV

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