AI in Chest X-Rays: Using DenseNet-121 for Enhanced Diagnosis
Harnessing the power of DenseNet-121, we revolutionize chest X-ray analysis by delivering unparalleled precision and scalability. This advanced deep learning model excels in feature extraction, enabling accurate and efficient diagnosis across diverse medical datasets.
Click here to view the demo: http://medicalscanlab.tech4bizsolutions.com/
Implementation Highlights
- Normalize image intensity, resize to 224×224, and augment data with techniques like flipping and rotation.
- Replace the final layer of the pre-trained DenseNet-121 with a custom classification head.
- Utilize weighted loss functions, Adam optimizer, and learning rate scheduling to improve model
- performance.Use metrics such as accuracy, F1 score, precision, and AUC-ROC to validate the model.
Outcome
DenseNet-121 enables accurate and reliable classification of chest X-ray pathologies, improving diagnostic efficiency and supporting clinical decision-making.