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 …

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

Computer-assisted diagnosis is key for scaling up cervical cancer screening. However,
current recognition algorithms perform poorly on whole slide image (WSI) analysis, fail to …

Weakly-supervised whole-slide image (WSI) classification (WSWC) is a challenging task
where a large number of unlabeled patches (instances) exist within each WSI (bag) while …

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 …

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

Inverse-designed silicon photonic metastructures offer an efficient platform to perform
analogue computations with electromagnetic waves. However, due to computational …

Passive acoustic wave manipulations are severely constrained by the narrow frequency
bandwidth of acoustic metastructures. In this research, an unprecedented type of …

Cytopathological examination plays a crucial role in cancer diagnosis as it reflects the
cellular pathology of cancer. However, this process traditionally relies on the visual …

Simple Summary This review discusses the timeline and development of the recommended
screening tests, diagnosis system, and therapeutics implemented in clinics for precancer …