# deadskull7/Pneumonia-Diagnosis-using-XRays-96-percent-Recall

<https://repo.masters-masters.com/en/repos/deadskull7/Pneumonia-Diagnosis-using-XRays-96-percent-Recall>

[Home](https://repo.masters-masters.com/en) › [deadskull7](https://repo.masters-masters.com/en/owners/deadskull7) › [Pneumonia-Diagnosis-using-XRays-96-percent-Recall](https://repo.masters-masters.com/en/repos/deadskull7/Pneumonia-Diagnosis-using-XRays-96-percent-Recall)

deadskull7/Pneumonia-Diagnosis-using-XRays-96-percent-Recall has 105 stars on GitHub. Its RepoMasters card: Prototype tier. BEST SCORE ON KAGGLE SO FAR , EVEN…

| Field | Value |
| --- | --- |
| Owner | [deadskull7](https://repo.masters-masters.com/en/owners/deadskull7) |
| Stars | 105 |
| Forks | 71 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2018 |
| Topics | pneumonia-diagnosis, inceptionv3, kaggle, transfer-learning, lungs, f1-score, confusion-matrix, precision-recall, xray, healthcare |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [deadskull7/Pneumonia-Diagnosis-using-XRays-96-percent-Recall](https://github.com/deadskull7/Pneumonia-Diagnosis-using-XRays-96-percent-Recall) |

## Repository

BEST SCORE ON KAGGLE SO FAR , EVEN BETTER THAN THE KAGGLE TEAM MEMBER WHO DID BEST SO FAR. The project is about diagnosing pneumonia from XRay images of lungs of a person using self laid convolutional neural network and tranfer learning via inceptionV3. The images were of size greater than 1000 pix…

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.