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https://github.com/tirendazacademy/cancer-detection-project

Cancer detection with Lightning, Comet ML and Gradio
https://github.com/tirendazacademy/cancer-detection-project

cancer-detection comet-ml computer-vision deep-learning gradio huggingface image-classification pytorch pytorch-lightning

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Cancer detection with Lightning, Comet ML and Gradio

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![](https://github.com/TirendazAcademy/Cancer-Detection-Project/blob/main/Images/pcam.jpg?raw=true)

[![](https://img.shields.io/badge/Python-0002A1?&style=plastic&logo=python&logoColor=white)]()
[![](https://img.shields.io/badge/Pytorch-FF1E00?&style=plastic&logo=pytorch&logoColor=white)]()
[![](https://img.shields.io/badge/PyTorchLightning-A31ACB?&style=plastic&logo=PyTorchLightning&logoColor=white)]()
[![](https://img.shields.io/badge/CometML-850000?&style=plastic&logo=comet&logoColor=white)]()
[![](https://img.shields.io/badge/Gradio-darkgreen?&style=plastic&logo=gradio&logoColor=white)]()

This repo contains files for the cancer detection project. We used [PyTorch-Lightning](https://lightning.ai/docs/pytorch/latest/) framework to build an image classification model. To track hyperparameters and metrics, we utilized [Comet ML](https://www.comet.com/site/). We also used [Gradio](https://gradio.app/) to create a cancer detection app. To examine this project, you can check [our app](https://huggingface.co/spaces/Tirendaz/Cancer-Detection) on HuggingFace.

📌 Medium blog post: [Simplifying the Image Classification Workflow with Lightning & Comet ML](https://medium.com/cometheartbeat/simplifying-the-image-classification-workflow-with-lightning-comet-ml-43d5c8cda3a8)