Abstract: Traditional machine learning (ML) techniques have limitations that make it difficult for existing algorithms to diagnose cervical cancer. These limitations include lower accuracy and an ...

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 ...

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 ...

The recommendation comes after the first at-home test, a self-swab, received federal approval last year. By Nina Agrawal An agency under the U.S. Department of Health and Human Services endorsed an ...

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

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 ...

Cancer arises when mutations occur in genes that control cell growth, causing cells to multiply uncontrollably. These abnormal cells form tumors, which can become malignant (cancerous). Breast cancer ...

SIOUX FALLS, S.D. (Dakota News Now) - On Monday, some hospitals in the state announced they could no longer take appointments for early detection breast cancer screenings. This was because the federal ...

Researchers have developed a new computer-aided diagnosis (CAD) system, BREAST-CAD, to improve breast cancer detection accuracy using machine learning algorithms and a real-time client-server ...

An illustration of a magnifying glass. An illustration of a magnifying glass.