Cloud-Based Breast Cancer Prediction Empowered with Soft Computing Approaches
ByResearch Team
Abstract
This study introduces a cloud-based system for breast cancer prediction utilizing soft computing approaches. The model leverages cloud infrastructure to process medical imaging data and employs advanced machine learning algorithms to achieve accurate early detection and diagnosis.
Introduction
Early detection of breast cancer significantly improves treatment outcomes and survival rates. This research demonstrates how cloud computing and soft computing techniques can be integrated to create scalable, accessible, and accurate breast cancer prediction systems that can assist healthcare professionals in making informed diagnostic decisions.
