You will get Pneumonia Detection using Chest X-Rays
Project details
This model detects pneumonia from chest X-ray images using a Convolutional Neural Network (CNN) inspired by AlexNet architecture. It classifies input images into two categories: Pneumonia and Normal. The model is trained on the widely used Chest X-ray dataset by Paul Mooney and achieves over 94% accuracy. It also includes Grad-CAM visualization for interpretability, allowing users to see what regions of the X-ray influenced the decision.
Machine Learning Tools
OpenCV, pandas, Python, TensorFlowWhat's included $35
These options are included with the project scope.
$35
- Delivery Time 1 day
- Number of Revisions 0
- Number of Model Variations 1
- Number of Graphs/Charts 2
- Model Validation/Testing
- Model Documentation
- Source Code
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+$2About Dhruva
Web Development | Agile Software Development, Project Management, CSS
Bengaluru, India - 3:00 am local time
Aspiring Project Manager AI & ML Engineer with expertise in Deep Learning & Data
Science. Passionate about optimizing ML models to solve real-world problems. Seeking an
opportunity to apply TensorFlow-based AI solutions in a dynamic environment.
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