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Robustness of magnetic resonance radiomic features to pixel size resampling and interpolation in patients with cervical cancer.

Shin Hyung ParkHyejin LimBong Kyung BaeMyong Hun HahmGun Oh ChongShin Young JeongJae-Chul Kim
Published in: Cancer imaging : the official publication of the International Cancer Imaging Society (2021)
Most MR radiomic features in patients with cervical cancer were robust after pixel size resampling and interpolation following the feature standardization process. The understanding regarding the robustness of individual features after pixel size resampling and interpolation could help future radiomics research.
Keyphrases
  • magnetic resonance
  • contrast enhanced
  • machine learning
  • magnetic resonance imaging
  • squamous cell carcinoma
  • deep learning