/DEEPSEACAT-Deep-learning-for-Segmentation-And-CharActerisation-of-Tissue

Deep learning for Segmentation And CharActerisation of Tissue

Primary LanguagePythonGNU General Public License v3.0GPL-3.0

DEEP SEA CAT

Deep learning for SEgmentation And CharActerisation of Tissue

References:

Berron, D., Vieweg, P., Hochkeppler, A., Pluta, J.B., Ding, S.-L., Maass, A., Luther, A., Xie, L., Das, S.R., Wolk, D.A., Wolbers, T., Yushkevich, P.A., Düzel, E., Wisse, L.E.M., 2017. A protocol for manual segmentation of medial temporal lobe subregions in 7 Tesla MRI. NeuroImage: Clinical 15, pp.466–482.

Wisse, L.E.M., Kuijf, H.J., Honingh, A.M., Wang, H., Pluta, J.B., Das, S.R., Wolk, D.A., Zwanenburg, J.J.M., Yushkevich, P.A. and Geerlings, M.I., 2016. Automated Hippocampal Subfield Segmentation at 7T MRI. American Journal of Neuroradiology.

Yushkevich, P.A., Pluta, J.B., Wang, H., Xie, L., Ding, S.L., Gertje, E.C., Mancuso, L., Kliot, D., Das, S.R. and Wolk, D.A., 2015. Automated volumetry and regional thickness analysis of hippocampal subfields and medial temporal cortical structures in mild cognitive impairment. Human brain mapping, 36(1), pp.258-287