https://github.com/emogooo/deep-learning-for-lung-disease-detection

Deep learning project detecting lung diseases from X-rays, examining hyperparameter effects and transfer learning.
https://github.com/emogooo/deep-learning-for-lung-disease-detection

binary-classification cnn-keras multiclass-classification

Last synced: over 1 year ago
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Deep learning project detecting lung diseases from X-rays, examining hyperparameter effects and transfer learning.

• Host: GitHub
• URL: https://github.com/emogooo/deep-learning-for-lung-disease-detection
• Owner: emogooo
• Created: 2022-04-22T13:43:23.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2024-07-06T07:05:51.000Z (almost 2 years ago)
• Last Synced: 2025-01-21T04:07:43.629Z (over 1 year ago)
• Topics: binary-classification, cnn-keras, multiclass-classification
• Language: Python
• Homepage:
• Size: 7.42 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Deep Learning for Lung Disease Detection

This undergraduate thesis project involves using deep learning techniques to detect lung diseases from X-ray images. The project focuses on the impact of different hyperparameters and transfer learning methods on the accuracy and efficiency of disease detection. By training various deep learning models on a dataset of lung X-rays, we aim to identify optimal configurations for accurately diagnosing conditions such as pneumonia, tuberculosis, and lung cancer. The study also explores how pre-trained models can be fine-tuned for this specific medical application, potentially improving performance and reducing training time. This project, demonstrates the potential of AI in enhancing diagnostic processes in healthcare.