Work

Multiparametric Ultrasound Imaging of Prostate Cancer Using Deep Neural Networks

Year: 2024

Type: article

Source: Ultrasound in Medicine & Biology

DOI: 10.1016/j.ultrasmedbio.2024.07.012

Authors: Derek Y. Chan, D. Cody Morris, Spencer R. Moavenzadeh, Theresa H. Lye, Thomas J. Polascik, Mark L. Palmeri, Jonathan Mamou, Kathryn R. Nightingale

Institutions: Duke University, Weill Cornell Medicine, Duke Medical Center

Language: English

Topic: Ultrasound Imaging and Elastography

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: U.S. Department of Defense, Siemens Medical Solutions USA, Siemens Healthineers, National Institutes of Health, National Cancer Institute, National Institute of Biomedical Imaging and Bioengineering

Awards: Development of a combined ARFI/SWEI ultrasound elasticity imaging system for targeted prostate biopsy guidance, Image guided targeted biopsy of clinically significant prostate cancer with acoustic radiation force, G4119534169, G5850682332, EARLY DETECTION OF CLINICALLY SIGNIFICANT PROSTATE CANCER USING ULTRASONIC ACOUSTIC RADIATION FORCE IMPULSE (ARFI) IMAGING, Training in Medical Imaging

OpenAlex ID: W4401742899

FWCI: 0.508

Cites: 23

Cited by: 2

Related to: 10