# DIAL-RPI/FreehandUSRecon

<https://repo.masters-masters.com/en/repos/DIAL-RPI/FreehandUSRecon>

[Home](https://repo.masters-masters.com/en) › [DIAL-RPI](https://repo.masters-masters.com/en/owners/DIAL-RPI) › [FreehandUSRecon](https://repo.masters-masters.com/en/repos/DIAL-RPI/FreehandUSRecon)

DIAL-RPI/FreehandUSRecon has 120 stars on GitHub. Its RepoMasters card: Prototype tier. Source code for DCL-Net, a deep learning model for sensorless freehand…

| Field | Value |
| --- | --- |
| Owner | [DIAL-RPI](https://repo.masters-masters.com/en/owners/DIAL-RPI) |
| Stars | 120 |
| Forks | 26 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2020 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [DIAL-RPI/FreehandUSRecon](https://github.com/DIAL-RPI/FreehandUSRecon) |

## Repository

Source code for DCL-Net, a deep learning model for sensorless freehand 3D ultrasound volume reconstruction.

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.