Abstract: HPV and various associated factors responsible for the development of cervical cancer in women. The only way to address the issue is through early screening and diagnosis for predicting ...

Please provide your email address to receive an email when new articles are posted on . The updated cervical cancer screening guidance includes the option of self-collection of vaginal samples for HPV ...

Statistics show a clear spike in eight cancers in younger people, but that has brought a debate over whether many cases ever needed to be found. By Gina Kolata The statistics are incontrovertible: ...

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 ...

Cervical cancer screening can now include “self-swab” HPV tests, according to updated guidelines published Thursday by the American Cancer Society. The change, experts hope, will encourage more women ...

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 ...

Background: Preoperative endometrial cancer (EC) diagnosis often depends on radiologists’ expertise, which introduces subjectivity. Recent studies have explored radiomics-based machine learning (ML) ...

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 ...

AI can be used to detect cervical cancer in women in resource-limited parts of the world. However, for this method to work, investments are needed in healthcare staff, reliable supply chains and trust ...