# josedolz/LiviaNET

<https://repo.masters-masters.com/en/repos/josedolz/LiviaNET>

[Home](https://repo.masters-masters.com/en) › [josedolz](https://repo.masters-masters.com/en/owners/josedolz) › [LiviaNET](https://repo.masters-masters.com/en/repos/josedolz/LiviaNET)

josedolz/LiviaNET has 162 stars on GitHub. Its RepoMasters card: Prototype tier. This repository contains the code of LiviaNET, a 3D fully convolutional…

| Field | Value |
| --- | --- |
| Owner | [josedolz](https://repo.masters-masters.com/en/owners/josedolz) |
| Stars | 162 |
| Forks | 51 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2017 |
| Topics | cnn, convolutional-neural-networks, image-segmentation, deep-learning, medical-imaging, 3d-convolutional-network, 3d-cnn, medical-image-processing, convolutional-networks, theano |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [josedolz/LiviaNET](https://github.com/josedolz/LiviaNET) |

## Repository

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.