Objectives: We developed ultrasound (US) image-based convolutional neural networks
(CNNs) to distinguish between tubal-ovarian abscess (TOA) and ovarian endometriosis cyst …

Ovarian cancer is a severe disease for older woman. Based on the research, ovarian cancer
is the fifth commonly disease and the seventh causes of death for woman worldwide. For …

Among gynecological malignancies, ovarian cancer is the most frequent cause of death.
Image mining algorithms have been predominantly used to give the physicians a more …

Background Conservative management of adnexal mass is warranted when there is
imaging-based and clinical evidence of benign characteristics. Malignancy risk is, however …

Today ovarian cancer is second most perilous cause of cancer deaths in women after breast
cancer. In this work, we have developed system which acquires ultrasound images and …

A high mortality rate is associated with ovarian cancer, one of the most common types of
cancers in women. Ovarian cancer refers to a group of disorders that develop in the ovaries …

Purpose: Ovarian cancer is one of the most common gynecological cancers in women. It is
difficult to accurately and objectively diagnose benign and malignant ovarian tumors using …

The use of ultrasound, also known as sonography, has assisted in the identification and care
of infertile patients. Ultrasound imaging of the ovary's follicles provides crucial details about …

polycystic ovarian syndrome (PCOS) is the most common hormone related disorder
worldwide. PCOS is caused by numerous tiny fluid-filled sacs called follicles, which are …

Objectives This study aims to evaluate the diagnostic performance of machine-learning-
based contrast-enhanced CT radiomic analysis for categorizing benign and malignant …