-
Offline Functionality:
HemoVision does not require an internet connection for its core functionalities. Users can perform blood filming and CBC analysis even in areas with limited or no internet access. -
Fast Analysis:
By utilizing deep learning techniques, HemoVision ensures fast and accurate analysis of blood samples. The application leverages the power of machine learning algorithms to process and interpret the images of blood smears, providing quick and reliable results to the users. -
Local Test Storage:
The application allows users to store and browse all test results locally on their mobile devices. This enables easy access to historical data and facilitates comparison and analysis of previous tests. -
Test Management:
The application provides options to delete outdated or unnecessary tests, allowing users to organize their data effectively. This feature helps in maintaining a clutter-free workspace and ensures that only relevant information is readily available. -
Search Functionality:
HemoVision incorporates a search feature that enables users to find specific tests by typing a test title or a portion of it. The app matches the input to available results and displays the relevant ones. -
Simple Design:
HemoVision boasts a user-friendly and intuitive design, ensuring a seamless user experience. The application's interface is clean and straightforward, allowing users to navigate through the features effortlessly. -
Dark & Light Themes:
HemoVision offers the flexibility to choose between dark and light themes, enhancing the visual experience of the application. -
Support for Dynamic Colors:
The application supports dynamic colors, adapting to the user's device settings or allowing customization of color schemes.
-
Notifications
You must be signed in to change notification settings - Fork 0
MahmoudRH/HemoVision
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
Mobile Application for Automated Blood Filming and CBC By Using Deep Learning Techniques
Topics
Resources
Stars
Watchers
Forks
Packages 0
No packages published