Robust radiomic feature selection in digital mammography: understanding the effect of imaging acquisition physics using phantom and clinical data analysis.
Raymond Joseph AcciavattiEric A. CohenOmid Haji MaghsoudiAimilia GastouniotiLauren PantaloneMeng-Kang HsiehEmily F. ConantChristopher G. ScottStacey J. WinhamKarla KerlikowskeCeline VachonAndrew D. A. MaidmentDespina KontosPublished in: Medical Imaging: Computer-Aided Diagnosis (2020)
Keyphrases
- clinical workflow
- digital mammography
- feature selection
- data analysis
- machine learning
- clinical applications
- data acquisition
- image analysis
- high resolution
- text categorization
- knn
- data pre processing
- medical imaging
- support vector
- clinical data sets
- computer aided diagnosis
- computer science
- traditional chinese medicine
- feature set
- brain imaging
- digital mammograms
- computer vision
- neural network