A Streamlit application in Python with deep learning models that can assess ACL ligament tear along with the grade of tear.
- CREATE A PYTHON VIRTUAL ENVIRONMENT
- INSTALL ALL THE REQUIRED DEPENDENCIES USING Requirements.txt FILE TO RUN THE APP.
- RUN
streamlit run app.pyTO RUN THE APPLICATION ON YOUR LOCAL SERVER. - TO RUN OTHER PARTS OF THE CODE, DOWNLOAD AND EXTRACT BOTH MRNET AND KNEEMRI DATASETS FROM THEIR RESPECTIVE SOURCES INTO
DataFOLDER. MRNet Source : https://stanfordmlgroup.github.io/competitions/mrnet/ KneeMRI Source : http://www.riteh.uniri.hr/~istajduh/projects/kneeMRI/ - RUN Jupyter Notebooks in the sequence a) Preprocess and augment dataset, b) Train models (from scratch and transfer learning)
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Contact Information:
- Jeevan Pawar (mailto:jeevanpawar5890@gmail.com)
- jeevan6996 (https://github.com/jeevan6996)
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