Artificial intelligence in breast imaging Book Section

  


Authors: Bitencourt, A.; Pinker, K.
Editors: Dev, B.; Joseph, L. D.
Article/Chapter Title: Artificial intelligence in breast imaging
Abstract: The use of artificial intelligence (AI) in breast imaging is rapidly evolving, with many possible applications, including improved image acquisition, more accurate detection and diagnosis of breast lesions, breast cancer risk assessment, and the development of new imaging biomarkers to predict treatment response and clinical outcomes. The application of AI tools in breast imaging offers an unprecedented opportunity to better derive clinical value from imaging data and reshape the way we care for our patients. This chapter discusses AI applications for mammography, breast ultrasound, and magnetic resonance imaging. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023. All rights reserved.
Keywords: magnetic resonance imaging; breast cancer; ultrasound; mammography; artificial intelligence; deep learning
Book Title: Holistic Approach to Breast Disease
ISBN: 978-981-99-0034-3
Publisher: Springer Nature  
Publication Place: Singapore
Date Published: 2023-01-01
Start Page: 489
End Page: 500
Language: English
DOI: 10.1007/978-981-99-0035-0_36
PROVIDER: scopus
DOI/URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195982336&doi=10.1007%2f978-981-99-0035-0_36&partnerID=40&md5=e8553a57aafb8687fddc1bbbb6647a71
Notes: Book chapter: 36 -- Source: Scopus
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MSK Authors
  1. Katja Pinker-Domenig
    213 Pinker-Domenig
  2. Almir Galvao Vieira Bitencourt
    18 Bitencourt
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