Early diagnosis of abnormal cervical cells enhances the chance of prompt treatment for
cervical cancer (CrC). Artificial intelligence (AI)‐assisted decision support systems for …

The diagnosis of cancer is typically based on histopathological sections or biopsies on glass
slides. Artificial intelligence (AI) approaches have greatly enhanced our ability to extract …

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 …

Automated cervical cancer screening through computer-assisted diagnosis has shown
considerable potential to improve screening accessibility and reduce associated costs and …

Purpose Short-and long-term complications of gestational diabetes mellitus (GDM) involving
pregnancies and offspring warrant the development of an effective individualized risk …

Pap smear is a digital image generated from the recording of cervical cancer cell
preparation. Images generated are susceptible to errors due to the relatively small cell sizes …

Cervical cancer is one of the fastest growing and most dangerous cancers, seriously
threatening women's health and lives. Cervical cytopathology image classification is a very …

Background Prompt histopathological diagnosis with accuracy is required for soft tissue
sarcomas (STSs) which are still challenging. In addition, the advances in artificial …

The application of machine learning methods to analyze histological images has led to
significant advances in computer-aided diagnosis. In this work, a study was carried out to …

Event extraction aims to present unstructured text containing event information in a
structured form to help people quickly mine the target information. Most of the traditional …