Artificial intelligence-driven radiomics study in cancer: the role of feature engineering and modeling.

"Declarations Ethics approval and consent to participateNot applicable. Consent for publicationNot applicable. Competing interestsAll the authors declare that they have no competing interest. Competing interests All the authors declare that they have no competing interest."

"Funding This work was supported in part by the National Natural Science Foundation of China (82072019), the Shenzhen Basic Research Program (JCYJ20210324130209023), the Shenzhen-Hong Kong-Macau S&T Program (Category C) (SGDX20201103095002019), the Mainland-Hong Kong Joint Funding Scheme (MHKJFS) (MHP/005/20), the Project of Strategic Importance Fund (P0035421), the Projects of RISA (P0043001) from the Hong Kong Polytechnic University, the Natural Science Foundation of Jiangsu Province (BK20201441), the Provincial and Ministry Co-constructed Project of Henan Province Medical Science and Technology Research (SBGJ202103038, SBGJ202102056), the Henan Province Key R&D and Promotion Project (Science and Technology Research) (222102310015), the Natural Science Foundation of Henan Province (222300420575), and the Henan Province Science and Technology Research (222102310322)."