Amidst the current health crisis and social distancing, telemedicine has become an
important part of mainstream of healthcare, and building and deploying computational tools …

Artificial intelligence (AI) technologies have resulted in remarkable achievements and
conferred massive benefits to computer-aided systems in medical imaging. However, the …

Computer-aided cervical cell classification using Pap smears or Thinprep cytologic test
(TCT) have been widely applied as a high effective screening tool, by which the cells are …

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 a worldwide public health problem with a high rate of illness and mortality
among women. In this study, we proposed a novel framework based on Faster RCNN-FPN …

Cervical cancer, a common chronic disease, is one of the most prevalent and curable
cancers among women. Pap smear images are a popular technique for screening cervical …

Cancer prevention is mainly achieved by screening the transformation zones. Cervical pre-
cancerous stages can be seen in three different types, and all can transform into cancer …

Colposcopy is currently a common medical technique for preventing cervical cancer.
However, with the increase of the workload, screening by artificial vision has the problems of …

Cancer is characterized by abnormal cell growth and proliferation, which are both diagnostic
indicators of the disease. When cancerous cells enter one organ, there is a risk that they …

Nowadays, deep learning (DL) is a popular tool used in various applications in different
fields, including the medical domain. DL techniques can cope with several challenges …