# Tirth27/Skin-Cancer-Classification-using-Deep-Learning

<https://repo.masters-masters.com/en/repos/Tirth27/Skin-Cancer-Classification-using-Deep-Learning>

[Home](https://repo.masters-masters.com/en) › [Tirth27](https://repo.masters-masters.com/en/owners/Tirth27) › [Skin-Cancer-Classification-using-Deep-Learning](https://repo.masters-masters.com/en/repos/Tirth27/Skin-Cancer-Classification-using-Deep-Learning)

Tirth27/Skin-Cancer-Classification-using-Deep-Learning has 171 stars on GitHub. Its RepoMasters card: Prototype tier. Classify Skin cancer from the skin…

| Field | Value |
| --- | --- |
| Owner | [Tirth27](https://repo.masters-masters.com/en/owners/Tirth27) |
| Stars | 171 |
| Forks | 55 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2021 |
| Topics | melanoma-diagnosis, keras-tensorflow, kaggle-competition, skin-lesion-image, skin-cancer, deep-learning, image-classification, medical-imaging, convolutional-neural-networks, computer-vision |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Tirth27/Skin-Cancer-Classification-using-Deep-Learning](https://github.com/Tirth27/Skin-Cancer-Classification-using-Deep-Learning) |

## Repository

Classify Skin cancer from the skin lesion images using Image classification. The dataset for the project is obtained from the Kaggle SIIM-ISIC-Melanoma-Classification competition.

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.