Hybrid model for identification of S100 expression in meningiomas.

Proposed Models' Architectures and Whole Pipe

Feature Extractor and Whole Pipe

Classifier Model

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 submitted to ISMRM22.

This study has been supported by TUBITAK 1001 grant 119S520.

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
__pycache__		__pycache__
docs		docs
images		images
LICENSE		LICENSE
Makefile		Makefile
README.md		README.md
index.rst		index.rst
inference.py		inference.py
main_objected.py		main_objected.py
make.bat		make.bat
meningiom_dataloader.py		meningiom_dataloader.py
model_builder.py		model_builder.py
prepare_data.py		prepare_data.py
preprocess.py		preprocess.py
requirements.txt		requirements.txt
tree.txt		tree.txt