Cervical abnormal cell detection plays a crucial role in the early screening of cervical
cancer. In recent years, some deep learning-based methods have been proposed. However …

Automated detection of cervical abnormal cells from Thin-prep cytologic test (TCT) images is
essential for efficient cervical abnormal screening by computer-aided diagnosis system …

Accurate cell segmentation is a pivotal step throughout the cervical cancer treatment
continuum, encompassing early screening, guiding treatment decisions, and assessing long …

Objective This study was designed to distinguish benign and malignant thyroid nodules by
using deep learning (DL) models based on ultrasound dynamic videos. Methods Ultrasound …

Cervical cancer is a major global health issue, particularly in developing countries where
access to healthcare is limited. Early detection of pre-cancerous lesions is crucial for …

Nasotracheal intubation (NTI) is one of the most commonly performed procedures in
anesthesia and is considered the gold standard for securing the airway of patients …

The blood and bone marrow are affected by leukemia, a deadly kind of cancer, that
significantly impacts the quality of life of those diagnosed. Early identification and precise …

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 …

Cervical cancer is a major health concern worldwide, highlighting the urgent need for better
early detection methods to improve outcomes for patients. In this study, we present a novel …

Cervical cancer is a prevalent and deadly cancer that affects women all over the world. It
affects about 0.5 million women anually and results in over 0.3 million fatalities. Diagnosis of …