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

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

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

deadskull7/Pneumonia-Diagnosis-using-XRays-96-percent-Recall, dépôt open source à 105 étoiles sur GitHub. Carte Prototype de RepoMasters.

| Champ | Valeur |
| --- | --- |
| Propriétaire | [deadskull7](https://repo.masters-masters.com/owners/deadskull7) |
| Étoiles | 105 |
| Forks | 71 |
| Langage | [Jupyter Notebook](https://repo.masters-masters.com/languages/jupyter-notebook) |
| Licence | MIT |
| Création | 2018 |
| Sujets | pneumonia-diagnosis, inceptionv3, kaggle, transfer-learning, lungs, f1-score, confusion-matrix, precision-recall, xray, healthcare |
| Rang | [Prototype (100 à 249 ★)](https://repo.masters-masters.com/ranks/rush) |
| Voir sur GitHub | [deadskull7/Pneumonia-Diagnosis-using-XRays-96-percent-Recall](https://github.com/deadskull7/Pneumonia-Diagnosis-using-XRays-96-percent-Recall) |

## Fiche du dépôt

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…

Rang des dépôts qui ont 100 à 249 ★ sur GitHub. Probabilité publiée par carte tirée : 70 %. Rareté : Commune.

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Données : GitHub · Illustration dessinée par RepoMasters à partir de l’identifiant du dépôt et de la couleur de son langage.