Researchers have developed a highly sensitive light-based sensor that can detect extremely low concentrations of cancer ...

Abstract: At present, mitosis detection in breast histopathology images is a critical issue for breast cancer grading. Due to the breast tissue having a complex structure, and mitosis and non-mitosis ...

ENOLA, Pa. — Medical professionals and patients across the world are marking World Cancer Day by raising awareness about cancer treatment, prevention and the importance of early detection. This year’s ...

Cancer has become so pervasive that most people can think of at least one person they know who has had the disease. According to the National Cancer Institute, the number of new cancer cases per year ...

Abstract: A considerable improvement in patient survival rates may be achieved with the early identification of skin cancer, diagnostic systems, dermoscopic image analysis has gained prominence as an ...

Abstract: Breast cancer classification through mammogram images plays a vital role in supporting early detection and diagnosis. However, the nature complexity of mammographic data such as class ...

A four-biomarker blood panel of aminopeptidase N (ANPEP), polymeric immunoglobulin receptor (PIGR), CA19-9, and thrombospondin-2 (THBS2) enhanced the detection of pancreatic ductal adenocarcinoma ...

Abstract: The treatment success for breast cancer depends heavily upon swift detection among females which represents one among the major cancer types affecting women globally. This paper fuses CNNs ...

Abstract: Early detection and accurate diagnosis of breast cancer continues to be one of the top common and deadly diseases among women across the globe. We propose in this work, an enhanced breast ...

As one of the most common and deadly types of cancer in the world, lung cancer continues to pose a serious threat to both healthcare systems and researchers. The prognosis of lung cancer patients ...

Abstract: In the study of remote sensing images, the problem of change detection (CD) is crucial. Convolutional neural networks (CNNs) are well-liked feature extraction structures that are frequently ...