Computational cytology is a critical, rapid-developing, yet challenging topic in medical
image computing concerned with analyzing digitized cytology images by computer-aided …

Deep learning (DL) is one of the branches of artificial intelligence that has seen exponential
growth in recent years. The scientific community has focused its attention on DL due to its …

We have recently been witnessing that our society is starting to heal from the impacts of
COVID-19. The economic, social and cultural impacts of a pandemic cannot be ignored and …

Abstract Background and Objective Cervical cancer is one of the leading causes of women's
death. Like any other disease, cervical cancer's early detection and treatment with the best …

Anti-cancer drug design has been acknowledged as a complicated, expensive, time-
consuming, and challenging task. How to reduce the research costs and speed up the …

As data-driven science, artificial intelligence (AI) has paved a promising path toward an
evolving health system teeming with thrilling opportunities for precision oncology …

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

Efficient and accurate distinction of histopathological subtype of lung cancer is quite critical
for the individualized treatment. So far, artificial intelligence techniques have been …

Cervical cancer is one of the most common cancers in daily life. Early detection and
diagnosis can effectively help facilitate subsequent clinical treatment and management. With …

Automatic detection of cervical lesion cells or cell clumps using cervical cytology images is
critical to computer-aided diagnosis (CAD) for accurate, objective, and efficient cervical …