This repository contains a Google Colab notebook (Task.ipynb) for organ segmentation.
The notebook demonstrates how to load medical imaging data, run segmentation models, and visualize results in 3D
The easiest way is to open the notebook in Google Colab:
- Open the notebook in Colab.
- Run each cell step by step.
- If your dataset is stored on Google Drive, mount it with:
from google.colab import drive drive.mount('/content/drive')
Option 2 — Run Locally
If you want to run it on your computer:
git clone https://github.com/your-username/your-repo.git cd your-repo pip install -r requirements.txt
Then open Task.ipynb with Jupyter Notebook or Jupyter Lab
Requirements
1)Python 3.8+ 2)Nibabel 3)Plotly 4)TotalSegmentator
Install them with:
!pip install totalsegmentator plotly nibabelRepository Contents
1)Task.ipynb → Main Colab notebook. 2)README.md → Project description and usage guide.
Credits
1)TotalSegmentator for pretrained segmentation models.
2)Google Colab for the runtime environment.
You can install the requirments with
!pip install -r requirments.txt