Skin cancer is considered as one of the most dangerous types of cancers.
Recognizing the type of skin cancer automatically from the images can assist in quick diagnosis and enhanced accuracy, saving valuable time.
The objective of this project is to deploy a deep learning based model to an android application, to detect 7 types of different skin cancers.
The android app is developed using Java in Android Studio.
The user interface of the application consists of login and registration screens. The data entered during registration is stored in the SQLite database.
The Home screen displays the following tiles:
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Test for Cancer: Given an input image, the type of skin cancer is displayed on the screen.
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Medicine Info: Loads the web page of National Cancer Institute (NCI) a part of National Institutes of Health (NIH).
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Find Hospital: Tracks the user's location information and recommends the skin cancer treatment options available nearby.
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What to do: Consist of 7 cards displaying information of various cancer types, their symptoms and treatments.
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Articles: Displays the articles related to skin cancer. These articles are updated real-time.
