Repository containing the code of one of the networks that we employed in the iSEG Grand MICCAI Challenge 2017, infant brain segmentation.
-
Updated
Dec 15, 2017 - Python
Repository containing the code of one of the networks that we employed in the iSEG Grand MICCAI Challenge 2017, infant brain segmentation.
This repository aims at containing all the code employed at LIVIA to segment medical images. Mainly, our research focuses on bringind the expertise in deep learning and optimization techniques to the medical image analysis domain.
Add a description, image, and links to the semidensenet topic page so that developers can more easily learn about it.
To associate your repository with the semidensenet topic, visit your repo's landing page and select "manage topics."