/1DCNN-Glioma-1H-MRS

IDH and TERTp mutation classification in gliomas using 1D-CNN with MRS data.

Primary LanguagePythonMIT LicenseMIT

Maintaner Website monip.org made-with-python made-with-sphinx-doc Documentation Status GitHub license Open Source? Yes! Ask Me Anything !

1D-CNN for detection IDH and TERTp mutations in gliomas using MRS data.

  • Tree of the configuration can be shown as the following.
├── conf.py
├── config.py
├── Data
│   ├── Test
│   │   └── placeholder.py
│   └── Train
│       └── placeholder.py
├── exceLoader.py
├── index.rst
├── LICENSE
├── main.py
├── make.bat
├── Makefile
├── model1DCNN.py
├── preprocess.py
├── README.md
├── synthetic.py
├── tester.py
└── trklearn.py

Proposed Model Architecture

Open Source? Yes!

Results of the study

Open Source? Yes!

Loss plots of the models.

Open Source? Yes!

HELP AND SUPPORT

If there will be any bug or issue that you face please dont hesitate to ask. abdullah.bas@boun.edu.tr

Ulu çınarlar fırtınalı diyarlarda yetişir. (Great plane trees grow in stormy lands)--Cemil Meriç (Turkish author)

This study has been accepted to ISMRM Canada 15-20 May 2021.

This study has been supported by TUBITAK 1003 grant 216S432.