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

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Results of the study

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Loss plots of the models.

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HELP AND SUPPORT

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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.