Skip to content

Latest commit

 

History

History
46 lines (36 loc) · 1.68 KB

README.md

File metadata and controls

46 lines (36 loc) · 1.68 KB

vessel-aneurysm-segmentation

Cerebrovascular and Aneurysm Segmentation in 3DRA images via a Deep Multi-Task Network

Weights can be download here:

fmnet5.hdf5 for inference_AneuristNet.py https://drive.google.com/file/d/1XZZY_H-Nt6mOZ3E9aFDAVvmYezxWJROi/view?usp=sharing

fmnet84.hdf5 for inference_Transformer.py https://drive.google.com/file/d/1bIBnfGVuFZY_Ggye_vSUF41bdUfeR-tC/view?usp=sharing

Folder structure:

vessel-aneurysm-segmentation/
├── data
│   └── step0 (**put the data you want to do inference here**)
│   │   └── ANSYS_UNIGE_09_image.nii.gz
│   │   ├── ANSYS_UNIGE_28_image.nii.gz
│   │   └── ...
│   ├── step1 (pre-processed data, generate automatically)
│   │   └── ANSYS_UNIGE_09_image.nii.gz
│   │   ├── ANSYS_UNIGE_28_image.nii.gz
│   │   └── ...
├── inference
│   └── inference.ipynb (**use this to do inference**)
│   ├── inference.py
├── results
│   └── aneurysm (aneurysm prediction)
│   │   └── ANSYS_UNIGE_09_image-[360, 633].nii.gz
│   │   ├── ANSYS_UNIGE_28_image-[1540].nii.gz
│   │   └── ...
│   ├── vessel (vessel prediction)
│   │   └── ANSYS_UNIGE_09_image_vessel_59969.nii.gz
│   │   ├── ANSYS_UNIGE_28_image_vessel_68437.nii.gz
│   │   └── ...
├── weights
│   └── fmnet5.hdf5
└── requirements.txt

How to use the code:

cd vessel-aneurysm-segmentation
pip install -r requirements.txt
cd inference
python inference_AneuristNet.py