Assessment of Renal Cell Carcinoma by Texture Analysis in Clinical Practice: A Six-Site, Six-Platform Analysis of Reliability
Ankur M. Doshi, Angela Tong, Matthew S. Davenport, Ahmed Khalaf, Rafah Mresh, Henry Rusinek, Nicola Schieda, Atul B. Shinagare, Andrew D. Smith, Rebecca E. Thornhill, Raghunandan Vikram, Hersh Chandarana
Abstract
It is important to be aware of variability related to texture software processing and configuration when reporting and comparing outputs.
Topics & Concepts
KurtosisMedicineIntraclass correlationSoftwarePearson product-moment correlation coefficientTexture (cosmology)ReproducibilityArtificial intelligencePattern recognition (psychology)SkewnessSegmentationCorrelationImage textureRenal cell carcinomaNuclear medicineStatisticsImage segmentationComputer sciencePathologyMathematicsImage (mathematics)Programming languageGeometryRadiomics and Machine Learning in Medical ImagingRenal cell carcinoma treatmentMRI in cancer diagnosis