Detection of pancreatic cancer with two- and three-dimensional radiomic analysis in a nationwide population-based real-world dataset

Chang, DaweiDaweiChangPO-TING CHENWang, PochuanPochuanWangWu, TinghuiTinghuiWuYeh, Andre YanchenAndre YanchenYehLee, Po-ChangPo-ChangLeeSung, Yi-HuiYi-HuiSungKAO-LANG LIUMING-SHIANG WUYang, DongDongYangRoth, HolgerHolgerRothWEI-CHIH LIAOWEICHUNG WANG2023-02-212023-02-212023-01-171471-2407https://scholars.lib.ntu.edu.tw/handle/123456789/628564CT is the major detection tool for pancreatic cancer (PC). However, approximately 40% of PCs < 2 cm are missed on CT, underscoring a pressing need for tools to supplement radiologist interpretation.enComputer-aided detection; Machine learning; Pancreatic cancer; Pancreatic ductal adenocarcinoma; Radiomics[SDGs]SDG3Detection of pancreatic cancer with two- and three-dimensional radiomic analysis in a nationwide population-based real-world datasetjournal article10.1186/s12885-023-10536-8366504402-s2.0-85146476942WOS:000914803800002https://api.elsevier.com/content/abstract/scopus_id/85146476942