Performance estimation of diagnostic tests for cervical precancer based on fluorescence spectroscopy: effects of tissue type, sample size, population, and signal-to-noise ratio.
Urs UtzingerE. Vanessa TrujilloE. Neely AtkinsonMichele F. MitchellScott B. CantorRebecca R. Richards-KortumPublished in: IEEE Trans. Biomed. Eng. (1999)
Keyphrases
- signal to noise ratio
- sample size
- diagnostic tests
- noise reduction
- model selection
- image analysis
- upper bound
- small sample
- random sampling
- contrast to noise ratio
- bit error rate
- edge detection
- confidence intervals
- matched filter
- worst case
- statistical tests
- infrared
- statistical hypothesis testing
- received signal
- estimation algorithm
- confocal images
- x ray
- progressive sampling
- random sample
- tissue classification
- statistical power
- data sets
- spatial filtering
- minimum mean square error
- small samples
- variance reduction
- experimental design
- parameter estimation