… the detection of a tumour by increasing its efficiency in terms of time and accuracy. … ovarian
tumours using Machine Learning and Deep Learning algorithms, using CT images of ovaries. …

… of these tumours. The aim of this study was to evaluate the performance of ADNEX model
for preoperative diagnosis of BOTs. Methods: retrospective analysis of preoperative ultrasound …

… and compare the performance of different ultrasound-based International Ovarian Tumor
Analysis (IOTA) strategies and subjective assessment for the diagnosis of early stage ovarian …

… Ovarian Tumor Analysis (IOTA) approaches have been validated and show the best
performance … masses: findings of the International Ovarian Tumour Analysis (IOTA) studies. Facts …

… We demonstrate how automated image analysis enables objective quantification of … of
ovarian tumours. Our analysis reveals a strong effect of the tumour microenvironment on …

… differentiates between epithelial ovarian cancer and benign … ovarian tumours, metastatic
disease, non-ovarian primary … known effect on diagnostic test performance, we acknowledge that…

… The frequency of patients with elevated tumour markers, occurrence of bilateral ovarian
tumours and coexistent uterine endometrial cancers, each imaging finding, fluid SI on T1WI, and …

… Our study elucidates the diagnostic performance of Risk of Ovarian … analysis. Further, we
did not assess these markers' diagnostic efficiency stratified by the stage and type of tumour …

… searched for studies assessing ovarian tumors using quantitative ADC values. We quantitatively
analyzed the diagnostic … Subgroup analyses were used to analyze study heterogeneity. …

… The retrospective evaluation of test performance of both strategies in this study is not very
likely to have introduced bias, as patient outcomes were blinded when calculating predicted …