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 ...

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) ...

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 ...

aDepartment of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK bDepartment of Radiology, Imperial College Healthcare NHS Trust, London, UK This is the second paper in a ...

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 ...

Sports broadcaster Erin Andrews, a cervical cancer survivor, is joining a national movement to promote early cancer screening, a cause that hits close to home. Andrews, a member of the FOX NFL ...

The study addressed the challenge of predicting cancer therapy-related cardiac dysfunction (CTRCD), which the researchers noted "remains a challenge." According to the research paper, which was ...

ICE faces obstacles in hiring new agents, Trump's takeover of the police in D.C., and more Length: Long Speed: 1.0x Health practitioners, companies, and others have for years hailed the potential ...

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 ...

Abstract: Cervical cancer ranks as a major cause of death among women globally, making essential for effective treatment. The automated examination of Pap smear images through sophisticated machine ...