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.
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🔗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

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