DEEP LEARNING IDENTIFIES MORPHOLOGICAL DETERMINANTS OF SEX DIFFERENCES IN THE PRE-ADOLESCENT BRAIN

The application of data-driven deep learning to identify sex differences in developing brain structures of pre-adolescents has heretofore not been accomplished.Here, the approach identifies sex differences by analyzing the minimally processed MRIs of the first 8144 participants (age 9 and 10 years) recruited by the Adolescent Brain Cognitive Develo

Background/aims: The aim of this study was to evaluate the usefulness of 3D-CT simulation in pediatric minimally invasive surgery.Methodology: adenomatoidPreoperative 3D-CT simulation was performed using data from contrast enhancement MDCT and SYNAPSE VINCENT software.The images of 3D CT simulation were installed to iPad, and were used as intra-ope