Objective: The likelihood of timely treatment for cervical cancer increases with timely
detection of abnormal cervical cells. Automated methods of detecting abnormal cervical cells …

Federated learning (FL) is a promising approach for training decentralized data located on
local client devices while improving efficiency and privacy. However, the distribution and …

Cancer is a dangerous and sometimes life-threatening disease that can have several
negative consequences for the body, is a leading cause of mortality, and is becoming …

Cervical cancer is one of the major diseases that seriously threaten women's health.
Cervical cancer automatic screening technology is of great significance to reduce the …

In the modern world, with so much inherent stress, mental health disorders (MHDs) are
becoming more common in every country around the globe, causing a significant burden on …

In the modern world, mental health disorder is one of the serious problems for every nation
around the globe, especially in this Covid-19 pandemic period. These illnesses affect not …

Cervical cancer is the second most commonly seen cancer in women. It affects the cervix
portion of the vagina. The most preferred diagnostic test required for screening for cervical …

As cervical cancer is considered one of the leading causes of death for women globally,
different screening techniques have emerged. As the Papanicolaou technique generates …

Machine learning and deep learning algorithms have made significant contributions to
healthcare industry. These algorithms aid in improving the accuracy and reliability of …

Early identification of Cervical Cancer (CC) helps in reducing the death rate of CC patients.
A Pap smear/Pap test, which is also a widely used method, is used to detect CC in its early …