Automated prostate multi-regional segmentation in magnetic resonance using fully convolutional neural networks-Reference-Cited by-同舟云学术

Automated prostate multi-regional segmentation in magnetic resonance using fully convolutional neural networks

Published:2023-01-24 Issue:7 Volume:33 Page:5087-5096
ISSN:1432-1084
Container-title:European Radiology
language:en
Short-container-title:Eur Radiol

Author:

Jimenez-Pastor Ana^ORCID,Lopez-Gonzalez Rafael,Fos-Guarinos Belén,Garcia-Castro Fabio,Wittenberg Mark,Torregrosa-Andrés Asunción,Marti-Bonmati Luis,Garcia-Fontes Margarita,Duarte Pablo,Gambini Juan Pablo,Bittencourt Leonardo Kayat,Kitamura Felipe Campos,Venugopal Vasantha Kumar,Mahajan Vidur,Ros Pablo,Soria-Olivas Emilio,Alberich-Bayarri Angel

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s00330-023-09410-9.pdf

Reference27 articles.

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3. Mayo Clinic (2019) PSA test. Mayo Clinic. Available via https://www.mayoclinic.org/tests-procedures/psa-test/about/pac-20384731. Accessed 19 Jan 2023

4. Brown LC, Ahmed HU, Faria R et al (2018) Multiparametric MRI to improve detection of prostate cancer compared with transrectal ultrasound-guided prostate biopsy alone: the PROMIS study. Health Technol Assess 22(39):1–176

5. Das CJ, Razik A, Netaji A, Verma S (2020) Prostate MRI-TRUS fusion biopsy: a review of the state of the art procedure. Abdom Radiol (NY) 45(7):2176–2183

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