Artificial intelligence (AI)-supported mammography identifies more cancers during screening and reduces the rate of breast ...

Eliminating cervical cancer is possible. The goal is years away and varies widely by state, according to a new paper by ...

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...

Recent advancements include targeted agents, immunotherapy, and fertility-sparing surgeries for patients with advanced ...

Abstract: Cervical cancer is one of the most common causes of mortality among women globally. Development of accurate, interpretable and clinically deployable automated systems for detection of ...

Self-collection means swabbing your vagina to get a sample of cells to test in the lab. In this case, the sample is used to ...

Skin cancer is the most commonly diagnosed cancer in the United States, affecting one in five Americans during their lifetime. While basal cell carcinomas (BCCs) and squamous cell carcinomas (SCCs) ...

Deep learning CNN for automated cervical cancer detection using Pap smear images, with Streamlit deployment & Grad‑CAM. This project implements a deep learning Convolutional Neural Network (CNN) for ...

Objective: This study aims to develop and evaluate an artificial intelligence-based model for cervical cancer subtyping using whole-slide images (WSI), incorporating both patch-level and WSI-level ...

Two new Cochrane reviews show strong and consistent evidence that HPV vaccines are effective in preventing cervical cancer and pre-cancerous changes, especially when given to young people before they ...