Zahra Shahrivar, Mehdi Tehrani-Doost, Anahita Khorrami Banaraki, Azar Mohammadzadeh, Francesca Happe
Normative data and psychometric properties of a farsi translation of the strange stories test
Autism research : official journal of the International Society for Autism Research
segmentation abdominal computed tomography ct provides spatial context morphological properties framework tissuespecific radiomics guide quantitative radiological assessment 2015 miccai challenge spurred substantial innovation multiorgan abdominal ct segmentation traditional deep learning methods recent innovations deep methods driven performance toward levels clinical translation appealing however continued crossvalidation open datasets presents risk indirect knowledge contamination could result circular reasoning moreover real world segmentations challenging due wide variability abdomen physiology within patients herein perform two data retrievals capture clinically acquired deidentified abdominal ct cohorts respect recently published variation 3d unet baseline algorithm first retrieved 2004 deidentified studies 476 patients diagnosis codes involving spleen abnormalities cohort second retrieved 4313 deidentified studies 1754 patients without diagnosis codes involving spleen abnormalities cohort b perform prospective evaluation existing algorithm cohorts yielding 13 8 failure rate respectively identified 51 subjects cohort segmentation failures manually corrected liver gallbladder labels retrained model adding manual labels resulting performance improvement 9 6 failure rate b cohorts respectively summary performance baseline prospective cohorts similar previously published datasets moreover adding data first cohort substantively improved performance evaluated second withheld validation cohort