P08 : From Pixels to Predictions: A Deep Learning Method to Detect Pneumonia in Chest X-Ray Images
| Students | Daniyal Qazi
Zayn Qazi |
| School | HDSB - W. H. Morden Public School - Oakville |
| Level | Junior 7/8 - Grade 7 |
| Group | Group 12 - Health Science IV |
| Abstract | The purpose of this project is to leverage artificial intelligence techniques, particularly Convolutional Neural Networks (CNNs) to achieve two main objectives: Firstly, to develop a model that is capable of accurately classifying chest X-ray images into two categories: those belonging to healthy individuals and those affected by pneumonia. Secondly, exploring the potential for identifying disease-related regions within X-ray images allowing for a more focused analysis, potentially aiding healthcare professionals in understanding the extent and severity of the infection. |