Semiautomated segmentation of hepatocellular carcinoma tumors with MRI using convolutional neural networks-Reference-Cited by-同舟云学术

Semiautomated segmentation of hepatocellular carcinoma tumors with MRI using convolutional neural networks

Published:2023-04-18 Issue:9 Volume:33 Page:6020-6032
ISSN:1432-1084
Container-title:European Radiology
language:en
Short-container-title:Eur Radiol

Author:

Said Daniela,Carbonell Guillermo,Stocker Daniel,Hectors Stefanie,Vietti-Violi Naik,Bane Octavia,Chin Xing,Schwartz Myron,Tabrizian Parissa,Lewis Sara,Greenspan Hayit,Jégou Simon,Schiratti Jean-Baptiste,Jehanno Paul,Taouli Bachir^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s00330-023-09613-0.pdf

Reference40 articles.

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2. Cunha GM, Sirlin CB, Fowler KJ (2021) Imaging diagnosis of hepatocellular carcinoma: LI-RADS. Chin Clin Oncol 10:3

3. Gordic S, Corcuera-Solano I, Stueck A et al (2017) Evaluation of HCC response to locoregional therapy: validation of MRI-based response criteria versus explant pathology. J Hepatol 67:1213–1221

4. Llovet JM, Lencioni R (2020) mRECIST for HCC: performance and novel refinements. J Hepatol 72:288–306

5. Forner A, Ayuso C, Varela M et al (2009) Evaluation of tumor response after locoregional therapies in hepatocellular carcinoma: are response evaluation criteria in solid tumors reliable? Cancer 115:616–623

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