# arcadelab/deepdrr

<https://repo.masters-masters.com/en/repos/arcadelab/deepdrr>

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

arcadelab/deepdrr has 284 stars on GitHub. Its RepoMasters card: Alpha tier. Code for "DeepDRR: A Catalyst for Machine Learning in Fluoroscopy-guided…

| Field | Value |
| --- | --- |
| Owner | [arcadelab](https://repo.masters-masters.com/en/owners/arcadelab) |
| Stars | 284 |
| Forks | 72 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | GPL-3.0 |
| Created | 2018 |
| Topics | pytorch, machine-learning, simulation, fluoroscopy, cone-beam, x-ray, monte-carlo-simulation, ray-casting, noise-injection, material-decomposition |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [arcadelab/deepdrr](https://github.com/arcadelab/deepdrr) |

## Repository

Code for "DeepDRR: A Catalyst for Machine Learning in Fluoroscopy-guided Procedures". https://arxiv.org/abs/1803.08606

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

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