TY - JOUR AU - Lee, Sangwoo AU - Choe, Eun Kyung AU - Kim, So Yeon AU - Kim, Hua Sun AU - Park, Kyu Joo AU - Kim, Dokyoon PY - 2020 DA - 2020/09/17 TI - Liver imaging features by convolutional neural network to predict the metachronous liver metastasis in stage I-III colorectal cancer patients based on preoperative abdominal CT scan JO - BMC Bioinformatics SP - 382 VL - 21 IS - 13 AB - Introducing deep learning approach to medical images has rendered a large amount of un-decoded information into usage in clinical research. But mostly, it has been focusing on the performance of the prediction modeling for disease-related entity, but not on the clinical implication of the feature itself. Here we analyzed liver imaging features of abdominal CT images collected from 2019 patients with stage I – III colorectal cancer (CRC) using convolutional neural network (CNN) to elucidate its clinical implication in oncological perspectives. SN - 1471-2105 UR - https://doi.org/10.1186/s12859-020-03686-0 DO - 10.1186/s12859-020-03686-0 ID - Lee2020 ER -