Background: Introducing deep learning approach to medical images has rendered a\nlarge amount of un-decoded information into usage in clinical research. But mostly,\nit has been focusing on the performance of the prediction modeling for diseaserelated\nentity, but not on the clinical implication of the feature itself. Here we\nanalyzed liver imaging features of abdominal CT images collected from 2019 patients\nwith stage I â?? III colorectal cancer (CRC) using convolutional neural network (CNN) to\nelucidate its clinical implication in oncological perspectives...................
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