LUMINA: LUng Multimodal Integrated Network Assistant
Advanced lung cancer classification using 3D DenseNet on multimodal data and symptom-based prediction through logistic regression.
Comprehensive Lung Cancer Analysis
LUMINA combines advanced imaging analysis with symptom-based prediction for accurate lung cancer detection and classification.
Combines CT and PET scans using 3D DenseNet architecture for accurate lung cancer subtype classification.
Uses logistic regression to predict lung cancer presence based on patient symptoms and demographic data.
Built on extensive research comparing 3D DenseNet with other architectures for optimal performance.
Automatic standardization, segmentation, and normalization of medical imaging data for consistent analysis.
3D DenseNet for Lung Cancer Classification
Our advanced deep learning model analyzes CT and PET scans to accurately classify non-small cell lung cancer subtypes.
Logistic Regression for Cancer Prediction
Our symptom-based model predicts the likelihood of lung cancer based on patient symptoms and demographic data.