Deep Learning in Medical Ultrasound - From Image Formation to Image Analysis

Massimo Mischi, Muyinatu A. Lediju Bell, Ruud J.G. van Sloun, Yonina C. Eldar

Onderzoeksoutput: Bijdrage aan tijdschriftEditorialAcademicpeer review

16 Citaten (Scopus)

Samenvatting

Over the past years, deep learning has established itself as a powerful tool across a broad spectrum of domains. While deep neural networks initially found nurture in the computer vision community, they have quickly spread over medical imaging applications, ranging from image analysis and interpretation to-more recently-image formation and reconstruction. Deep learning is now rapidly gaining attention in the ultrasound community, with many groups around the world exploring a wealth of opportunities to improve ultrasound imaging in several key aspects, ranging from beamforming and compressive sampling to speckle suppression, segmentation, and super-resolution imaging.
Originele taal-2Engels
Artikelnummer9269304
Pagina's (van-tot)2477-2480
Aantal pagina's4
TijdschriftIEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
Volume67
Nummer van het tijdschrift12
DOI's
StatusGepubliceerd - dec. 2020

Bibliografische nota

Funding Information:
Prof. Eldar is a member of the Israel Academy of Sciences and Humanities and a fellow of EURASIP. She has received many awards for excellence in research and teaching, including the IEEE Signal Processing Society Technical Achievement Award, the IEEE/AESS Fred Nathanson Memorial Radar Award, the IEEE Kiyo Tomiyasu Award, the Michael Bruno Memorial Award from the Rothschild Foundation, the Weizmann Prize for Exact Sciences, and the Wolf Foundation Krill Prize for Excellence in Scientific Research. She is the Editor-in-Chief of Foundations and Trends in Signal Processing. She serves the IEEE on several technical and award committees.

Funding Information:
Dr. Bell’s awards and honors include the NSF CAREER Award, the NIH Trailblazer Award, and MIT Technology Review’s Innovator Under 35 Award. She also serves as Associate Editor-in-Chief of IEEE TRANSACTIONS ON ULTRASONICS, FERROELECTRICS, AND FREQUENCY CONTROL and as Associate Editor of the IEEE TRANSACTIONS ON MEDICAL IMAGING.

Financiering

Prof. Eldar is a member of the Israel Academy of Sciences and Humanities and a fellow of EURASIP. She has received many awards for excellence in research and teaching, including the IEEE Signal Processing Society Technical Achievement Award, the IEEE/AESS Fred Nathanson Memorial Radar Award, the IEEE Kiyo Tomiyasu Award, the Michael Bruno Memorial Award from the Rothschild Foundation, the Weizmann Prize for Exact Sciences, and the Wolf Foundation Krill Prize for Excellence in Scientific Research. She is the Editor-in-Chief of Foundations and Trends in Signal Processing. She serves the IEEE on several technical and award committees. Dr. Bell’s awards and honors include the NSF CAREER Award, the NIH Trailblazer Award, and MIT Technology Review’s Innovator Under 35 Award. She also serves as Associate Editor-in-Chief of IEEE TRANSACTIONS ON ULTRASONICS, FERROELECTRICS, AND FREQUENCY CONTROL and as Associate Editor of the IEEE TRANSACTIONS ON MEDICAL IMAGING.

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