3D Slicer: An Extension for Brain Tumor Segmentaion.

[Github]

[Demo]

Introduction

In my graduate thesis we was proposed 2 methode for 3D Brain Tumor Segmentation(BTS) problem.

• 3D Dual-Domain Attention Network: We was develop a module using Attention Mechanism can combine 2 level information of the feature… Read more
• 3D Dual-Fusion Attention Network: We introduce a new way of fusion 2 trained model for BTS. Using fusion method, Self-Attention and Residual Learning. Read more

Demo Application

My app is an Extension of 3D Slicer.

How to install.

1. Clone this repository and download the trained model.

   • Clone repository

    ~ git clone https://github.com/RC-Sho0/Brain-Tumor-Segmentaion-on-3D-Slicer.git

• Download the trained model here.

3. Import independent python module

   • Open Python Console

   >>> import pip
   >>> pip.main(['install', 'torch', 'monai[nibabel]'])

4. Add trained module into Extension.

   • Copy the path of the trained folder

   • Replace the path at the “trained_path” variable in the file TumorSeg.py

     

5. Import module:

   • Modules —> Developer Tools —> Extension Wizard
   • Select Extension —> Choose clone folder —> Open
   • Now you can see my Extension in the Module list

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How to use:

https://www.youtube.com/watch?v=GyhCeiEjsKw&t=62s

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If you like that, please Star my repo 🌟 And if you want to support let's follow my GitHub 🎆

Authorized by Sho0

Update 26/04/23

Feel free to contact me here if you have any questions