# slowvak/MachineLearningForMedicalImages

<https://repo.masters-masters.com/en/repos/slowvak/MachineLearningForMedicalImages>

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

slowvak/MachineLearningForMedicalImages has 106 stars on GitHub. Its RepoMasters card: Prototype tier. Example code on how to apply machine learning methods…

| Field | Value |
| --- | --- |
| Owner | [slowvak](https://repo.masters-masters.com/en/owners/slowvak) |
| Stars | 106 |
| Forks | 55 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2016 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [slowvak/MachineLearningForMedicalImages](https://github.com/slowvak/MachineLearningForMedicalImages) |

## Repository

Example code on how to apply machine learning methods to medical images. Contains code (python and python notebooks) and data (DICOM)

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.