Nuestro grupo organiza más de 3000 Series de conferencias Eventos cada año en EE. UU., Europa y América. Asia con el apoyo de 1.000 sociedades científicas más y publica más de 700 Acceso abierto Revistas que contienen más de 50.000 personalidades eminentes, científicos de renombre como miembros del consejo editorial.

Revistas de acceso abierto que ganan más lectores y citas
700 revistas y 15 000 000 de lectores Cada revista obtiene más de 25 000 lectores

Abstracto

Artificial Intelligence is Being Used to Detect Breast Cancer in Mammography

Mickael Humphreys

Breast cancer is a significant global health concern, and early detection plays a crucial role in improving patient outcomes. Mammography, a widely employed imaging technique for breast cancer screening, can benefit from advancements in artificial intelligence (AI) technologies. This paper presents a comprehensive review of the utilization of AI in the detection of breast cancer through mammography. The review encompasses various AI approaches, including convolutional neural networks (CNNs), deep learning architectures, and machine learning algorithms, which have demonstrated substantial potential in enhancing the accuracy and efficiency of breast cancer detection. By analyzing a diverse range of studies, this paper highlights the key contributions, challenges, and future prospects of AI-powered breast cancer detection in mammography. The integration of AI techniques has the potential to revolutionize mammographic analysis, enabling earlier and more accurate diagnoses, ultimately leading to improved patient care and prognosis