# workingcoder/EDCNN

<https://repo.masters-masters.com/en/repos/workingcoder/EDCNN>

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

workingcoder/EDCNN has 160 stars on GitHub. Its RepoMasters card: Prototype tier. EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss…

| Field | Value |
| --- | --- |
| Owner | [workingcoder](https://repo.masters-masters.com/en/owners/workingcoder) |
| Stars | 160 |
| Forks | 11 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2021 |
| Topics | ct-denoising, denoising, edge-enhancement, low-dose, edcnn, low-dose-ct, low-dose-ct-denoising |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [workingcoder/EDCNN](https://github.com/workingcoder/EDCNN) |

## Repository

EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT Denoising

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

## Nearby in Python

- [timpratim/macbrow · ★ 160 · Python · Prototype](https://repo.masters-masters.com/en/repos/timpratim/macbrow)
- [pretend1111/inko-skill · ★ 160 · Python · Prototype](https://repo.masters-masters.com/en/repos/pretend1111/inko-skill)
- [VectifyAI/jev-doc-search · ★ 160 · Python · Prototype](https://repo.masters-masters.com/en/repos/VectifyAI/jev-doc-search)
- [sethtrain/django-git · ★ 160 · Python · Prototype](https://repo.masters-masters.com/en/repos/sethtrain/django-git)
- [knipknap/Gelatin · ★ 160 · Python · Prototype](https://repo.masters-masters.com/en/repos/knipknap/Gelatin)
- [niemeyer/hsandbox · ★ 160 · Python · Prototype](https://repo.masters-masters.com/en/repos/niemeyer/hsandbox)

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