Ovarian cancer (OC) is one of the most common types of cancer in women. Surgery and
chemotherapy are still the most common forms of treatment; however, their success depends …

Ovarian cancer is a significant health concern because of its high mortality rates and
potential to cause glomerular injury, which can obstruct the urinary tract. It is very crucial to …

Ovarian cancer is a serious sickness for elderly women. According to data, it is the seventh
leading cause of death in women as well as the fifth most frequent disease worldwide. Many …

Background Ovarian cancer is often considered the most lethal gynecological cancer
because it tends to be diagnosed at an advanced stage, leading to limited treatment options …

In today's world, cancers are becoming a crucial warning in current medical applications
where they show a significant part in the prognosis and appraisal of ovarian malignancies in …

Objective To create the 3D convolutional neural network (CNN)-based system that can use
whole-body [18F] FDG PET for recurrence/post-therapy surveillance in ovarian cancer (OC) …

Breast cancer, a widespread global disease, represents a significant threat to women's
health and lives. Many researchers have proposed computer-aided diagnosis systems for …

Due to the lack of reliable early‐diagnostic tools, most ovarian cancers are diagnosed at late
stages. Although optical coherence tomography (OCT) has shown promise for identifying …

Ovarian cancer is a formidable health challenge that demands accurate and timely survival
predictions to guide clinical interventions. Existing methods, while commendable, suffer from …

In the study of the deep learning classification of medical images, deep learning models are
applied to analyze images, aiming to achieve the goals of assisting diagnosis and …