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Скачать или смотреть Brain Tumor Detection using Deep Learning | VGG16 + ResNet50 + MobileNetV2 | 84% Accuracy Medical AI

  • codeAj Marketplace
  • 2025-10-23
  • 107
Brain Tumor Detection using Deep Learning | VGG16 + ResNet50 + MobileNetV2 | 84% Accuracy Medical AI
brain tumor detectiondeep learning projectmedical aivgg16resnet50mobilenetv2tensorflow kerasfinal year projectcse projectmachine learningtransfer learningmri analysisflask web appcomputer visionmedical image processingai healthcareneural networkspython projectdata sciencecnn projectkeras tutorialmedical diagnosisbrain mritumor classificationdeep learning tutorialai projecttensorflow projecthealthcare technology
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Описание к видео Brain Tumor Detection using Deep Learning | VGG16 + ResNet50 + MobileNetV2 | 84% Accuracy Medical AI

🧠 AI-Powered Brain Tumor Detection System with Multi-Model Deep Learning Analysis

Transform MRI scans into instant medical diagnoses using cutting-edge deep learning! This complete Flask web application combines VGG16, ResNet50, and MobileNetV2 models to detect brain tumors with up to 84.31% accuracy.

🎯 Project Highlights:

4 Deep Learning Models (VGG16, ResNet50, MobileNetV2, Custom CNN)

84.31% Accuracy with Transfer Learning

Real-time MRI Analysis with Confidence Scores

Interactive Visualizations (ROC Curves, Confusion Matrix)

Professional Flask Web Interface with Bootstrap UI

Complete Training Pipeline with Data Augmentation

HIPAA-Compliant Image Processing

💻 Technology Stack:
Flask | Python | TensorFlow | Keras | OpenCV | NumPy | Pandas | Matplotlib | Chart.js | Bootstrap 5 | Scikit-learn

📊 Model Performance:

VGG16: 84.31% accuracy

MobileNetV2: 80.39% accuracy

ResNet50: 78.43% accuracy

Custom CNN: 66.67% accuracy

✨ Perfect For:
✓ Final Year CSE/IT Projects
✓ M.Tech AI/ML Specialization
✓ Medical Informatics Programs
✓ Data Science Portfolio
✓ Healthcare AI Startups

🚀 Key Features:

Multi-Model Comparison Analysis

Advanced Data Augmentation

Transfer Learning Implementation

Comprehensive Performance Metrics

Mobile-Responsive Design

Secure File Processing

📱 Want This Complete Project?

WhatsApp: +918603862290

Buy Directly: https://projects.codeaj.com/projects/brain...

Get complete source code, trained models, dataset, documentation, and deployment guide!

🎓 What You'll Learn:

Deep Learning with TensorFlow/Keras

Transfer Learning Techniques

Medical Image Processing

Flask Web Development

Model Evaluation & Visualization

Production Deployment

📦 Project Includes:
✅ Complete Python Source Code
✅ Pre-trained Models (VGG16, ResNet50, MobileNetV2)
✅ Training Dataset & Scripts
✅ Flask Web Application
✅ Detailed Documentation
✅ Installation Guide
✅ Model Comparison Reports

Perfect for students looking to build industry-relevant AI projects in healthcare technology!

🔗 More Projects: CodeAj Marketplace - https://projects.codeaj.com

#BrainTumorDetection #DeepLearning #MachineLearning #MedicalAI #TensorFlow #VGG16 #ResNet50 #FinalYearProject #AIProject #HealthcareAI

Contact for Custom Projects & Freelance Work:
📧 [email protected]
📱 WhatsApp: +918603862290

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