github-actions[bot]
commented
4 months ago Congratulations, @saikrishna823! 🎉 Thank you for creating your issue. Your contribution is greatly appreciated and we look forward to working with you to resolve the issue. Keep up the great work!
We will promptly review your changes and offer feedback. Keep up the excellent work! Kindly remember to check our contributing guidelines
saikrishna823
Is your feature request related to a problem? Please describe.
Pneumonia is a severe respiratory infection that inflames the air sacs in the lungs, posing significant health risks, particularly to infants, the elderly, and immunocompromised individuals. Early and accurate diagnosis is crucial for effective treatment, but traditional methods like chest X-rays and laboratory tests can be time-consuming and require expert interpretation.
Describe the solution you'd like
This project aims to develop an automated pneumonia detection system using chest X-ray images and deep learning techniques. We will collect a dataset of labeled X-ray images and preprocess them through resizing, normalization, and augmentation. Various deep learning models, including CNNs and transfer learning architectures like VGG16, ResNet50, and DenseNet, will be explored to identify the most effective approach. The models will be trained and evaluated using metrics such as accuracy, precision, recall, and AUC-ROC to ensure robustness and generalizability. The final model will be integrated into a user-friendly web application, allowing healthcare professionals to upload X-ray images and receive instant diagnostic feedback.
Describe alternatives you've considered
No response
Additional context
No response
Code of Conduct