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 …

Traditional screening of cervical cancer type classification majorly depends on the
pathologist's experience, which also has less accuracy. Colposcopy is a critical component …

Background Colposcopy is indispensable for the diagnosis of cervical lesions. However, its
diagnosis accuracy for high‐grade squamous intraepithelial lesion (HSIL) is at about 50 …

Colposcopy is widely used to detect cervical cancers, but experienced physicians who are
needed for an accurate diagnosis are lacking in developing countries. Artificial intelligence …

Cervical cancer is one among the trivial forms of cancer that counts for 6.6% of all females
cancers with an estimated 570,000 new cases in 2018. The mortality rate due to cervical …

Background Deep learning has presented considerable potential and is gaining more
importance in computer assisted diagnosis. As the gold standard for pathologically …

Cervical cancer causes the fourth most cancer-related deaths of women worldwide. Early
detection of cervical intraepithelial neoplasia (CIN) can significantly increase the survival …

Cervical cancer is one of the most common gynecological malignancies, and when detected
and treated at an early stage, the cure rate is almost 100%. Colposcopy can be used to …

Cervical cancer ranks among the most prevalent causes of fatality in women around the
world. Early diagnosis is essential for treating cervical cancer using pap smear slides, but it …

Background Cervical cancer is the second most common female cancer globally, and it is
vital to detect cervical cancer with low cost at an early stage using automated screening …