… segmentation refers to separating the ROI (which in our study is the ovarian tumour) from
the background of the whole image. Automatic segmentation of the ROI is not a trivial problem …

… facilitates the selection of patients with ovarian pathology that may either not … ultrasound
of different adnexal masses and illustrate these by showing representative ultrasound images…

… In this paper, we propose a new method for automatic ovarian tumour … from ultrasound
images of the ovary. Support Vector Machine (SVM) is then used to classify ovarian tumour based …

… on the initial diagnosis made from medical images. The objective of this work is to … ultrasound
images of the ovary to accurately characterize and classify benign and malignant ovarian …

… image due to the ultrasound system as well as human factors. Chapter 6: This chapter assesses
the reliability of the B-mode clinical image … RI of benign and malignant ovarian tumours. …

… -US fusion in imaging ovarian suspicious masses. Secondary … histology and confront those
findings with ultrasound and MRI. … doppler) appearance of a right borderline ovarian tumour. …

… is composed by different nature ovarian tumours images, from benign to malignant (stromal
tumours, epithelial tumours, metastatic tumours or embrionary tumours). Classifying these …

… imaging features from ultrasound images that can determine the aetiology of an ovarian tumour.
… for the diagnostic utility of AI models diagnosing ovarian tumours on ultrasound images. …

… of malignant potential of ovarian tumours, this study shows that ultrasound scan has a high
… In addition, most cases had ultrasound colour flow imaging and Doppler waveform analysis …

… Ovarian tumour (US) images are presented to the segmentation portion to identify tumours
… to prepare Entirety 150 Ovarian tumour ultrasound images as 80 benign and 70 malignant …