ISSN: 2572-4118

Breast Cancer: Current Research
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  • Review Article   
  • Breast Can Curr Res 2023, Vol 8(4): 4
  • DOI: 10.4172/2572-4118.1000207

Artificial Intelligence is Being Used to Detect Breast Cancer in Mammography

Mickael Humphreys*
Department of Medical Epidemiology and Biostatistics, Stockholm, Sweden
*Corresponding Author : Mickael Humphreys, Department of Medical Epidemiology and Biostatistics, Stockholm, Sweden, Email: m.humphreys.ali@ki.se

Received Date: Aug 01, 2023 / Published Date: Aug 28, 2023

Abstract

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

Citation: Humphreys M (2023) Artificial Intelligence is Being Used to Detect BreastCancer in Mammography. Breast Can Curr Res 8: 207. Doi: 10.4172/2572-4118.1000207

Copyright: © 2023 Humphreys M. This is an open-access article distributed underthe terms of the Creative Commons Attribution License, which permits unrestricteduse, distribution, and reproduction in any medium, provided the original author andsource are credited.

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