KAO-LANG LIUWu, TinghuiTinghuiWuPO-TING CHENTsai, Yuhsiang MYuhsiang MTsaiRoth, HolgerHolgerRothMING-SHIANG WUWEI-CHIH LIAOWEICHUNG WANG2022-09-142022-09-14202025897500https://scholars.lib.ntu.edu.tw/handle/123456789/620150The diagnostic performance of CT for pancreatic cancer is interpreter-dependent, and approximately 40% of tumours smaller than 2 cm evade detection. Convolutional neural networks (CNNs) have shown promise in image analysis, but the networks' potential for pancreatic cancer detection and diagnosis is unclear. We aimed to investigate whether CNN could distinguish individuals with and without pancreatic cancer on CT, compared with radiologist interpretation.en[SDGs]SDG3journal article10.1016/S2589-7500(20)30078-9333281242-s2.0-85085288371https://scholars.lib.ntu.edu.tw/handle/123456789/618191