Quantitative computer-aided diagnostic algorithm for automated detection of peak lesion attenuation in differentiating clear cell from papillary and chromophobe renal cell carcinoma, oncocytoma, and fat-poor angiomyolipoma on multiphasic multidetector computed tomography.
Heidi J CoyJonathan R YoungMichael L DouekMatthew S BrownJames SayreSteven S RamanPublished in: Abdominal radiology (New York) (2017)
A novel, quantitative CAD algorithm enabled robust peak HU lesion detection and discrimination of ccRCC from other renal lesions with similar performance compared to the manual method.
Keyphrases
- renal cell carcinoma
- computed tomography
- clear cell
- machine learning
- deep learning
- loop mediated isothermal amplification
- high resolution
- label free
- positron emission tomography
- real time pcr
- contrast enhanced
- magnetic resonance imaging
- adipose tissue
- high throughput
- neural network
- dual energy
- pet ct
- sensitive detection