Classification Of Breast Cancer Final Year Projects
Classification Of Breast Cancer Final Year Projects for BE, BTech, ME, MSc, MCA and MTech final year engineering students. These Classification Of Breast Cancer projects give practical experience and help complete final-year submissions. All projects follow IEEE standards and each project includes source code, project thesis report, presentation, project execution and explanation.
Classification Of Breast Cancer Final Year Projects
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A Transfer Learning Approach to Breast Cancer Classification in a Federated Learning Framework
This project focuses on using artificial intelligence to detect and predict breast cancer while keeping patient data private. Instead of collecting all data in one place, it uses a federated learning system that learns from data in multiple locations without sharing sensitive information. The study improves accuracy by enhancing image data, balancing datasets, and using advanced AI models. Experiments show that this approach predicts cancer more accurately than traditional methods. -
Deep Learning-Based Multi-Modal Ensemble Classification Approach for Human Breast Cancer Prognosis
This project builds a smarter system to predict breast cancer early. It uses different types of patient data together, such as clinical details, gene information, and genetic variations. The system learns patterns from each data type using different deep learning models and then combines them. This combined model improves prediction accuracy compared to using a single data source. -
Enhancing Breast Cancer Classification in Histopathological Images through Federated Learning Framework
This study develops an automated system to detect breast cancer from medical images. It secures patient data by encrypting images and storing them safely using advanced machine learning techniques. The system then classifies the images using a deep learning model, which is optimized for better accuracy. Tests show the method is highly effective, achieving over 95% accuracy and reliability.
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Classification Of Breast Cancer Project Synopsis & Presentation
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