Impact of CT convolution kernel on robustness of radiomic features for different lung diseases and tissue types.
Sarah DenzlerDiem VuongMarta BogowiczMatea PavicThomas FrauenfelderSandra ThiersteinEric Innocents EbouletBritta MaurerJanine SchnieringHubert Szymon GabryśIsabelle Schmitt-OpitzMiklos PlessRobert FoersterMatthias GuckenbergerStephanie Tanadini-LangPublished in: The British journal of radiology (2021)
The study presents to our knowledge the most complete analysis on the impact of convolution kernel on the robustness of CT-based radiomics for four relevant tissue types in three different lung diseases. .