BraNet: A mobil Application for Breast image classification based on Deep Learning algorithms.

Mobile health apps are widely used for breast cancer detection and diagnosis. Artificial intelligence plays a crucial role in developing medical tools, providing radiologists with second opinions, and reducing false diagnoses. Aim: This study aims to develop an open-source mobile app, named "BraNet," for 2D breast imaging segmentation and classification using deep learning algorithms. Methods: The BraNet app was developed using the React Native framework, offering a modular deep learning pipeline for mammography and ultrasound breast imaging classification. This application operates on a client-server architecture and was implemented in Python for iOS and Android devices. It performs image analysis, extracts masks, and classifies them into benign or malignant classes. The components include data loading, Region of Interest (RoI) extraction, segmentation, classification, and statistical evaluation.

Description
The development of a mobile application for Android and iOS devices is proposed, in which breast ultrasound or mammography images are loaded, then a segmenter is used to extract the regions of interest (ROI) (optional), finally a classifier algorithm is applied to these to determine if the image is benign or malignant.

Languages used
TypeScript
JavaScript
Python 3.11
Tools/Frameworks used
Figma
VS Code
Jupyter Notebooks
Flask
PyTorch 2.0.1
React Native 0.71
Database and cloud plataforms
Google Firebase
Google Cloud

移动医疗应用被广泛应用于乳腺癌的检测与诊断。人工智能在医疗工具开发中发挥关键作用，可为放射科医师提供辅助诊断意见，降低误诊率。
研究目标：本研究旨在开发一款名为“BraNet”的开源移动应用，依托深度学习算法实现二维乳腺影像的分割与分类任务。
研究方法：BraNet应用基于React Native框架开发，搭建了针对乳腺钼靶与超声影像分类的模块化深度学习流水线；该应用采用客户端-服务器架构，基于Python语言实现，可适配iOS与Android设备。应用可完成影像分析、掩码提取，并将影像分类为良性或恶性类别，核心组件涵盖数据加载、感兴趣区域（Region of Interest, RoI）提取、分割、分类以及统计评估。

应用概述：本研究提出一款面向Android与iOS设备的移动应用，可加载乳腺超声或钼靶影像，可选择性使用分割器提取感兴趣区域（ROI），随后通过分类算法对影像进行处理，以判断其为良性或恶性。

所用编程语言：
TypeScript、JavaScript、Python 3.11

所用工具与框架：
Figma、VS Code、Jupyter Notebooks、Flask、PyTorch 2.0.1、React Native 0.71

数据库与云平台：
Google Firebase、Google Cloud