Monica Miranda-Schaeubinger, Kandice Garcia Tomkins, Ethan Larsen, Valerie Rigby, Ammie M White, Raymond W Sze, David B Larson
Results of a Virtual Multi-Institutional Program for Quality Improvement Training and Project Facilitation
Journal of the American College of Radiology : JACR
lung cancer second common cancer worldwide two million new cases per year early identification would allow healthcare practitioners handle effectively advancement computeraided detection systems significantly impacted clinical analysis decisionmaking human disease towards machine learning deep learning techniques successfully applied due several advantages transfer learning become popular disease detection based image data work build novel transfer learning model vernet stacking three different transfer learning models detect lung cancer using lung ct scan images model trained map ct scan images four lung cancer classes various measures image preprocessing data augmentation hyperparameter tuning taken improve efficacy vernet models trained evaluated using multiclass classifications chest ct images experimental results confirm vernet outperformed eight transfer learning models compared vernet scored 91 92 91 913 tested accuracy precision recall f1score respectively compared stateoftheart vernet better accuracy vernet effectively used lung cancer detection may also useful diseases ct scan images available