Artificial intelligence for ultrasound microflow imaging in breast cancer diagnosis.

Journal: Ultraschall in der Medizin (Stuttgart, Germany : 1980)

Published Date: Apr 9, 2024

PURPOSE: To develop and evaluate artificial intelligence (AI) algorithms for ultrasound (US) microflow imaging (MFI) in breast cancer diagnosis.

Na Lae Eun

Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul, 06273, Republic of Korea.
Eunjung Lee

Department of Computational Science and Engineering, Yonsei University, Seoul, Korea.
Ah Young Park

Radiology, Bundang CHA Medical Center, Seongnam, Korea (the Republic of).
Eun Ju Son

Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul, 06273, Republic of Korea. ejsonrd@yuhs.ac.
Jeong-Ah Kim

Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul, 06273, Republic of Korea.
Ji Hyun Youk

Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul, 06273, Republic of Korea.

Adult Aged Algorithms Artificial Intelligence Breast Breast Neoplasms Female Humans Middle Aged Neural Networks, Computer Retrospective Studies ROC Curve Sensitivity and Specificity Ultrasonography, Mammary

View on PubMed Access via DOI PubMed (38593859)