Effect of a small number of training cases on the performance of massive training artificial neural network (MTANN) for reduction of false positives in computerized detection of lung nodules in low-dose CT.
Kenji SuzukiSamuel G. ArmatoFeng LiShusuke SoneKunio DoiPublished in: Medical Imaging: Image Processing (2003)
Keyphrases
- false positives
- low dose
- lung nodules
- detection rate
- false positive rate
- false negative
- artificial neural networks
- false alarms
- ct images
- x ray
- computed tomography
- nodule detection
- computerized tomography
- contrast enhancement
- medical images
- computer aided diagnosis
- ct scans
- medical imaging
- imaging modalities
- pattern recognition
- multiscale