Breast Cancer Detection using CNN

Authors: Prof. K. C. Nalavade, Shivani Baheti, Jayshri Hagawane, Dnyaneshwari Harde, Aditya Mehetre

Country: India

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Abstract: Breast cancer is a significant global health concern affecting millions of individuals worldwide. Early detection and prevention are crucial for improving the prognosis and reducing the mortality rate associated with this disease. This abstract introduces a comprehensive breast cancer detection and prevention system leveraging the power of deep learning and data analytics. The proposed system consists of two modules:

Module 1: Image-based Breast Cancer Detection and Prevention
In this module, users can upload mammograph or ultrasound images for the automatic detection of breast cancer. Deep learning algorithms, specifically convolutional neural networks (CNNs), are employed to analyze the uploaded images. The system classifies the images as benign or malignant, providing users with an instant diagnosis. Additionally, it offers personalized prevention and early intervention recommendations based on the identified risk factors and cancer type. The preventive suggestions may include lifestyle changes, screening schedules, and recommended medical consultations.

Module 2: Data-driven Breast Cancer Detection and Prevention
This module allows users to input personal health parameters such as blood pressure, blood sugar levels, family history, and other relevant factors into a structured form. The system utilizes these inputs to assess the user’s risk of developing breast cancer. Advanced data analysis and machine learning models are employed to correlate the provided information with breast cancer risk factors. The system then offers tailored preventive strategies and early detection recommendations to help users mitigate their risk. The system’s strength lies in its ability to combine image-based diagnosis with data-driven analysis, ensuring a holistic approach to breast cancer detection and prevention. By leveraging deep learning and AI technologies, it can provide accurate and timely assistance to users in their efforts to identify and mitigate breast cancer risks. Such a system holds great potential in improving the early detection and prevention of breast cancer, ultimately contributing to better health outcomes for individual.

Keywords: Breast Cancer, Image, Data parameter

Paper Id: 230521

Published On: 2024-03-21

Published In: Volume 12, Issue 2, March-April 2024

Cite This: Breast Cancer Detection using CNN - Prof. K. C. Nalavade, Shivani Baheti, Jayshri Hagawane, Dnyaneshwari Harde, Aditya Mehetre - IJIRMPS Volume 12, Issue 2, March-April 2024.

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