Скачать или смотреть Brain Tumor Detection Using Deep Learning | Model Comparison (CNN, VGG19, InceptionV3, YOLOv11n)

Project Title: Brain Tumor Detection Using Deep Learning
Module: SE4050 – Deep Learning (July 2025)
Group ID: MLB_WE_SE_IT_SE4050_88
Institution: Sri Lanka Institute of Information Technology (SLIIT)

🧠 Project Overview:
This project focuses on developing an AI-based system to detect and classify brain tumors from MRI images using multiple deep learning models.
The models compared include:

🧩 CNN (Custom Convolutional Neural Network)
🧠 VGG19 (Transfer Learning)
⚙️ InceptionV3 (Transfer Learning)
🚀 YOLOv11n (Classification Mode)

Each model was trained on the Brain Tumor MRI Dataset (Kaggle), which contains over 7,000 MRI images across four classes — glioma, meningioma, pituitary, and no tumor.
We evaluated the models based on accuracy, precision, recall, and F1-score to identify the best-performing architecture for real-world medical use.

👥 Team Members:

IT22277954 – Laksopan. R → VGG19
IT22337658 – Thaha A T R S → InceptionV3
IT22313898 – Hibath R M S → CNN
IT22094704 – Sageevan P → YOLOv11n

📚 Technologies Used:

Python (TensorFlow, Keras, Ultralytics YOLO)
Google Colab
Kaggle Brain Tumor MRI Dataset