# carrenD/Medical-Cross-Modality-Domain-Adaptation

<https://repo.masters-masters.com/en/repos/carrenD/Medical-Cross-Modality-Domain-Adaptation>

[Home](https://repo.masters-masters.com/en) › [carrenD](https://repo.masters-masters.com/en/owners/carrenD) › [Medical-Cross-Modality-Domain-Adaptation](https://repo.masters-masters.com/en/repos/carrenD/Medical-Cross-Modality-Domain-Adaptation)

carrenD/Medical-Cross-Modality-Domain-Adaptation has 304 stars on GitHub. Its RepoMasters card: Alpha tier. \[IJCAI'18\] Unsupervised Cross-Modality Domain…

| Field | Value |
| --- | --- |
| Owner | [carrenD](https://repo.masters-masters.com/en/owners/carrenD) |
| Stars | 304 |
| Forks | 59 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2018 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [carrenD/Medical-Cross-Modality-Domain-Adaptation](https://github.com/carrenD/Medical-Cross-Modality-Domain-Adaptation) |

## Repository

\[IJCAI'18\] Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss (code&data)

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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