The survival rate of cervical cancer can be improved by the early screening. However, the
screening is a heavy task for pathologists. Thus, automatic cervical cell classification model …

The segmentation of cervical cell in liquid-based smear image plays an important role in
cervical cancer detection. Despite of research for many years, it is still a challenge for the …

Early detection of cervical cancer is key to detecting and treating cancer. Applying the
computer to the detection of cervical cancer can get more accurate results. However, data …

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 …

Automatic examination of thin-prep cytologic test (TCT) slides can assist pathologists in
finding cervical abnormality for accurate and efficient cancer screening. Current solutions …

Cervical cancer is one of the most common cancers among women. Fortunately, cervical
cancer is treatable if it is diagnosed timely and administered appropriately. The death rate of …

Currently, the Thinprep cytologic test (TCT) is the most popular cervical cancer cytology test
technique. It can detect precancerous conditions and microbial infections. However, this …

The cervical cytology smear test is an effective method for cervical cancer early screening,
and segmentation accuracy is essential for computer-aided diagnosis. In this study, an …

Accurate recognition of cervical cancer cells is of great significance to clinical diagnosis, but
these existing algorithms are designed by low-level manual feature, and their performance …

Cervical cancer is the fourth most prevalent disease among women. Prompt diagnosis and
its management can significantly improve patients' survival rates. Therefore, routine …