… for ultrasound images able to discriminate between benign and malignant adnexal masses
and based on neural … assisting doctors in the interpretation of suspicious ultrasound images. …

… The aims of this study were to develop and test a DNN-based computerized ultrasound
image analysis model for discriminating between benign and malignant ovarian tumors and to …

… We used transvaginal ultrasonography with color Doppler imaging to examine all patients …
assessment of an adnexal mass. The histological classification of the adnexal mass was used …

… In case of discrepancy, agreement ultrasound images were discussed to give a final result.
… ), proving to be the best method of ultrasound discrimination between benign and malignant …

… for ultrasound images able to discriminate between benign and malignant adnexal masses
and based on neural … assisting doctors in the interpretation of suspicious ultrasound images. …

… ultrasound results or the ovarian mass was not completely in the images(10 images); and (2)
mucinous(37 images), … , 65 borderline ovarian tumors, 106 malignant ovarian tumors), were …

… subjective evaluation of ultrasound images by an experienced … calculation of risk of malignancy
in adnexal masses. The gold … and neural networks12, 13 were developed to discriminate …

… with an adnexal mass are available, based on ultrasound variables, clinical predictors and
tumour markers. This study is the first head-to-head comparison of the International Ovarian …

… neural network (ANN) models to predict malignancy in patients presenting with adnexal
masses. … enhanced power Doppler imaging may easily and precisely discriminate benign from …

… There is a variety of possible classifiers among which k-nearest neighbors (kNN), neural
networks (NN), and support vector machines (SVM) are the most used classifiers for biomedical …