Ahmed Sayasneh

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INTRODUCTION Preoperative characterisation of ovarian masses into benign or malignant is of paramount importance to optimise patient management. OBJECTIVES In this study, we developed and validated a computerised model to characterise ovarian masses as benign or malignant. MATERIALS AND METHODS Transvaginal 2D B mode static ultrasound images of 187(More)
Ultrasound is one of the most widely used multipurpose imaging modalities that is ideal for monitoring and diagnosing early pregnancy events. The first sign and measurable element of an early pregnancy is the Gestational Sac (GS). Currently, the size of GS is manually measured from an ultrasound image of the GS. This paper argues that the Mean Sac Diameter(More)
It may be distributed unchanged freely in print or electronic forms. Abstract Ultrasound imaging is one of the most widely used multipurpose imaging modalities for monitoring and diagnosing early pregnancy events. The first sign and measurable element of an early pregnancy is the appearance of the Gestational Sac (GS). Currently, the size of the GS is(More)
Ovarian cancer is the most deadly cancer of the female reproductive system. Early detection of ovarian carcinoma continues to be a challenging task. Manual classifications are generally based on subjective assessment by experts, which may result in different diagnoses. In this paper, we propose a new method for automatic ovarian tumour classification based(More)
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