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

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 …

One of the leading causes of cancer-related deaths among women is cervical cancer. Early
diagnosis and treatment can minimize the complications of this cancer. Recently …

The growth of artificial intelligence (AI) has led to an increase in the adoption of computer
vision and deep learning (DL) techniques for the evaluation of microscopy images and …

Cervical cancer is a serious threat to the lives and health of women. The accurate analysis of
cervical cell smear images is an important diagnostic basis for cancer identification …

Cervical cancer is one of the most common and deadliest cancers among women and poses
a serious health risk. Automated screening and diagnosis of cervical cancer will help …

Deep Learning-based image synthesis techniques have been applied in healthcare
research for generating medical images to support open research and augment medical …

Digital gigapixel whole slide image (WSI) is widely used in clinical diagnosis, and
automated WSI analysis is key for computer-aided diagnosis. Currently, analyzing the …

Diabetic retinopathy (DR) is a condition that damages the retina in people with diabetes and
can lead to vision loss. It can be detected by observing the morphological changes in the …

Cell classification underpins intelligent cervical cancer screening, a cytology examination
that effectively decreases both the morbidity and mortality of cervical cancer. This task …