CompProject

Project for the exam "Computing Methods for Experimental Physics and Data Analysis"

Package containing different tools for feature exctraction, machine learning and deep learning analysis of Diffusion Tensor Imaging for Alzheimer's desease classification.

Documentation

Documentation

Authors

• @simonedamiani
• @francescourso

Run

The package can be run using the two different main with parser:

  python main_ML.py [generic options] <subparser name> [subparser options]

  python main_DL.py [generic options] <subparser name> [subparser options]

References

LIN, W., TONG, T., GAO, Q., GUO, D., DU, X., YANG, Y., GUO, G., XIAO, M., DU, M., QU, X., ET AL. 2018. Convolutional neural networks-based mri image analysis for the alzheimer’s disease prediction from mild cognitive impairment. Frontiers in neuroscience 12, 777.

MAGGIPINTO, T., BELLOTTI, R., AMOROSO, N., DIACONO, D., DONVITO, G., LELLA, E., MONACO, A., SCELSI, M. A., TANGARO, S., INITIATIVE, A. D. N., ET AL. 2017. Dti measurements for alzheimer’s classification. Physics in Medicine & Biology 62, 6, 2361.