Skin cancer detection is a project that aims to detect skin cancer through digital image analysis. The system uses machine learning algorithms to analyze images of skin lesions and determine if they are cancerous or not. This project can be helpful for early diagnosis of skin cancer, which can lead to better treatment.
Welcome to my awesome project! This is a brief overview of what this project is about.
This project is a skin cancer detection application that uses machine learning to identify potential skin cancer based on uploaded images.
- Upload an image of a skin lesion and get a prediction on whether it is benign or malignant.
- View a history of previous scans.
- Get information on skin cancer prevention and detection.
Here are some screenshots of the application:
The home screen displays options to upload an image or view scan history.
Users can upload an image of a skin lesion for analysis.
The scan results screen displays the prediction on whether the lesion is benign or malignant.
Users can view a history of previous scans.
##similar many more activity screen is there, Feel free to make any necessary changes
To install the application, follow these steps:
- Clone the repository.
- Open the project in Android Studio.
- Build and run the application on your device or emulator.
This application was developed by John Smith and Jane Doe.
This project is licensed under the MIT License - see the LICENSE.md file for details.