Cervical cancer remains a leading cause of cancer death in women, seriously threatening
their physical and mental health. It is an easily preventable cancer with early screening and …

Objective: The likelihood of timely treatment for cervical cancer increases with timely
detection of abnormal cervical cells. Automated methods of detecting abnormal cervical cells …

Abstract Background The World Health Organization (WHO) called for global action towards
the elimination of cervical cancer. One of the main strategies is to screen 70% of women at …

Cervical cancer is one of the common cancers among women and it causes significant
mortality in many developing countries. Diagnosis of cervical lesions is done using pap …

Colposcopy is widely used to detect cervical cancers, but experienced physicians who are
needed for an accurate diagnosis are lacking in developing countries. Artificial intelligence …

Background Deep learning has presented considerable potential and is gaining more
importance in computer assisted diagnosis. As the gold standard for pathologically …

While automation-assisted reading system can improve efficiency, their performance often
relies on the success of accurate cell segmentation and hand-craft feature extraction. This …

Gynecologic (GYN) malignancies are gaining new and much-needed attention, perpetually
fueling literature. Intra-/inter-tumor heterogeneity and “frightened” global distribution by race …

To realize the automatic diagnosis of cervical intraepithelial neoplasia (CIN) cases by
preacetic acid test and postacetic acid test colposcopy images, this paper proposes a …

Background The field of oncology is at the forefront of advances in artificial intelligence (AI)
in health care, providing an opportunity to examine the early integration of these …