Development of an optimized multi-biomarker panel for the detection of lung cancer based on principal component analysis and artificial neural network modeling.
José Miguel Flores-FernándezEnrique J. Herrera-LópezFrancisco Sánchez-LlamasAntonio Rojas-CalvilloPaula Anel Cabrera-GaleanaGisela Leal-PachecoMaría Guadalupe González-PalomarRicardo FematMoisés Martínez-VelázquezPublished in: Expert Syst. Appl. (2012)
Keyphrases
- lung cancer
- automated detection
- artificial neural networks
- principal component analysis
- early detection
- lymph nodes
- software engineering
- cancer diagnosis
- survival prediction
- lung cancer patients
- automatic detection
- cancer cells
- pet ct
- false alarms
- project management
- anomaly detection
- face recognition
- machine learning