Advanced Breast Cancer Detection using Deep Learning from Mammogram and Histopathological Images

Опубликовано: 17 Июль 2025
на канале: JP INFOTECH PROJECTS

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Advanced Breast Cancer Detection using Deep Learning from Mammogram and Histopathological Images | Python Final Year IEEE Machine Learning Project 2025 - 2026.
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🔗Email: [email protected],
🌐Website: https://www.jpinfotech.org

🚀IEEE Base Paper Title: Optimizing Breast Cancer Mammogram Classification Through a Dual Approach: A Deep Learning Framework Combining ResNet50, SMOTE, and Fully Connected Layers for Balanced and Imbalanced Data.
📌Our Proposed Project Title: Advanced Breast Cancer Detection using Deep Learning from Mammogram and Histopathological Images.
💡Implementation: Python.
🔬Algorithm / Model Used: Xception model, MobileNet model, DenseNet201 Architecture.
🌐Web Framework: Flask.
🖥️Frontend: HTML, CSS, JavaScript.
💰Cost (In Indian Rupees): Rs.5000/

📘Project Abstract:
👉Breast cancer remains one of the leading causes of mortality among women worldwide, necessitating the development of efficient and accurate diagnostic tools.
👉This project presents an advanced deep learning-based diagnostic framework that integrates dual imaging modalities: mammogram and histopathological images, for enhanced breast cancer detection.
👉The system is developed using Python as the back-end language, Flask as the web framework, and HTML, CSS, and JavaScript for the front-end interface.

📍REFERENCE:
ABDULLAH FAHAD A. ALSHAMRANI AND FAISAL SALEH ZUHAIR ALSHOMRANI, “Optimizing Breast Cancer Mammogram Classification Through a Dual Approach: A Deep Learning Framework Combining ResNet50, SMOTE, and Fully Connected Layers for Balanced and Imbalanced Data”, IEEE Access, VOLUME 13, 2025

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