Artificial intelligence (AI)-supported mammography identifies more cancers during screening and reduces the rate of breast ...
Cancer screenings play a critical role in protecting long-term health. They can detect cancer early, when treatment is most ...
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 ...
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 ...
User interface of the Intelligent Digital Education Tool for Colposcopy (iDECO). This figure illustrates the main user interface of iDECO, a bilingual (Chinese and English) web-based platform for ...
Background: Cervical cancer is a significant global public health issue, primarily caused by persistent high-risk human papillomavirus (HPV) infections. The disease burden is disproportionately higher ...
The application of machine learning (ML) to oncology is accelerating breakthroughs in cancer detection, diagnosis, and treatment, with gynecological cancers emerging as a key area of innovation. In a ...
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