On the Relevance of the Loss Function in the Agatston Score Regression from Non-ECG Gated CT Scans.
Carlos Cano-EspinosaGermán GonzálezGeorge R. WashkoMiguel CazorlaRaúl San José EstéparPublished in: RAMBO+BIA+TIA@MICCAI (2018)
Keyphrases
- loss function
- ct scans
- reproducing kernel hilbert space
- gradient boosting
- support vector
- normalized discounted cumulative gain
- ct images
- x ray
- computed tomography
- pairwise
- computer tomography
- learning to rank
- region of interest
- regression model
- computer aided diagnosis
- computer aided detection
- logistic regression
- linear regression
- model selection
- boosting framework
- information retrieval
- square loss
- regularization term
- medical images
- empirical risk
- pulmonary nodules
- ranking models
- support vector regression
- risk minimization
- image reconstruction
- test collection
- regression methods
- relevance feedback
- least squares
- medical imaging
- precision and recall