Medical imaging is gaining significant attention in healthcare, including breast cancer.
Breast cancer is the most common cancer-related death among women worldwide …

Breast cancer in women is the second most common cancer worldwide. Early detection of
breast cancer can reduce the risk of human life. Non-invasive techniques such as …

The objective of this study is to perform a comprehensive bibliometric analysis of the existing
literature on breast cancer segmentation using deep learning techniques. Data for this …

With the development of artificial intelligence technology and computer hardware functions,
deep learning algorithms have become a powerful auxiliary tool for medical image analysis …

Cancer has become a major threat to global health care. With the development of computer
science, artificial intelligence (AI) has been widely applied in histopathological images (HI) …

Breast cancer is diagnosed using histopathological imaging. This task is extremely time-
consuming due to high image complexity and volume. However, it is important to facilitate …

Breast cancer is a common and fatal disease among women worldwide. Therefore, the early
and precise diagnosis of breast cancer plays a pivotal role to improve the prognosis of …

Background With the rapid development of technology, artificial intelligence (AI) has been
widely used in the diagnosis and prognosis prediction of a variety of diseases, including …

With the development of artificial intelligence and high-performance computing equipment,
new technologies have huge effects on medical image research. However, it is difficult to …

Incorporating scientific research into clinical practice via clinical informatics, which includes
genomics, proteomics, bioinformatics, and biostatistics, improves patients' treatment …