Development of Android Application for Intelligent 2D Breast Cancer Visualization
Most often affecting women after puberty, breast cancer is one of the most common cancer-related disorders globally. Even though the condition kills thousands of people every year, if it is discovered promptly, it can usually be treated. Therefore, quick and accurate detection techniques are essenti...
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Published in | 2024 IEEE 1st International Conference on Communication Engineering and Emerging Technologies (ICoCET) pp. 1 - 4 |
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Main Authors | , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
02.09.2024
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Subjects | |
Online Access | Get full text |
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Summary: | Most often affecting women after puberty, breast cancer is one of the most common cancer-related disorders globally. Even though the condition kills thousands of people every year, if it is discovered promptly, it can usually be treated. Therefore, quick and accurate detection techniques are essential for the patient's survival. In the past, medical professionals used manual detection methods to achieve this goal. Most of the researches usually focusing more on detecting compared to visualizing. Visualizing Breast cancer is important so many people can understand their condition easily. The goal of this research is to create a new Android application that will visualize the detected breast cancer in 2D environment using Android based smartphone. This in project, there are two phases. Phase 1 is data preparation for the visualization and phase 2 visualization of tumor in 2D environment. In this process, data is extracted from Matlab and it visualize in mobile application. The data is processed by using machine learning. The detected tumor is visualizes using Android based smart phone. The application is developed by using 000webhost, MySQL and Android Studio. The utilization of android applications is quite advantageous as they advance technology and provide consumers with a variety of viewpoints. It is able to handle and visualize these data better than other standard systems. To test the system, we initially tried it with 10 data sets. Once 10 data are appropriately visualized. To check its functionality, we added more data, Additionally, the application can help user to understand the state of their breast health without the expertise. |
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DOI: | 10.1109/ICoCET63343.2024.10729960 |