Lung Cancer Detection and Classification using Deep Learning | Python Machine Learning IEEE Project

Lung Cancer Detection and Classification using Deep Learning | Python Machine Learning IEEE Final Year Project 2026. 🛒Buy Link: https://bit.ly/4prYZ2x (or) To buy this Python project Source Code in ONLINE, Contact: 🔗Email: [email protected], 🌐Website: https://www.jpinfotech.org 📌Our Proposed Project Title: Lung Cancer Detection and Classification using Deep Learning. 💡Implementation: Python. 🔬Algorithm / Model Used: Convolutional Neural Network (CNN) based on the VGG16 architecture. 🌐Web Framework: Flask. 🖥️Frontend: HTML, CSS, JavaScript. 💰Cost (In Indian Rupees): Rs.5000/ 📘Project Abstract: 👉Lung cancer remains one of the leading causes of cancer-related mortality worldwide, primarily due to late-stage diagnosis and the subtle nature of early symptoms. 👉Advances in medical imaging and deep learning have opened new possibilities for automated, accurate, and early detection of lung cancer from CT scan images. 👉In this context, the project “Lung Cancer Detection and Classification using Deep Learning” focuses on building an intelligent, web-enabled diagnostic support system that can assist clinicians in identifying and classifying lung cancer types with high reliability. 🚀IEEE Base Paper Title: Lung-AttNet: An Attention Mechanism-Based CNN Architecture for Lung Cancer Detection With Federated Learning. 📍REFERENCE: CHAMAK SAHA, SOMAK SAHA, MD. ASADUR RAHMAN, MD. MAHMUDUL HAQUE MILU, HIROKI HIGA, MOHD ABDUR RASHID, AND NASIM AHMED, “Lung-AttNet: An Attention Mechanism-Based CNN Architecture for Lung Cancer Detection With Federated Learning”, IEEE ACCESS, VOLUME 13, 2025. 🕑Timeline: 00:12 - Intro. 00:29 - IEEE Base Paper Concept. 02:33 - Our Proposed Project Abstract. 04:07 - Dataset Details. 06:52 - Existing System. 08:17 - Proposed System. 10:56 - System Architecture. 11:21 - System Requirements. 12:26 - Project Execution. 🏷️tags: #lungcancer #python #machinelearning #ai #finalyearproject