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 ...
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 ...
Cervical cancer, one of the most common female cancers, can be detected with computed tomography (CT) and magnetic resonance imaging (MRI). Computer-aided diagnosis (CAD) methods based on artificial ...
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 ...
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 ...
Abstract: Cervical cancer is one of the diseases which are most prevalent in females. This is seen when some changes occur in a woman's cervix. To further complicate the issue these cancer cells can ...
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