Deep Learning Classification and Quantification of Pejorative and Nonpejorative Architectures in Resected Hepatocellular Carcinoma from Digital Histopathologic Images-Reference-Cited by-同舟云学术

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Deep Learning Classification and Quantification of Pejorative and Nonpejorative Architectures in Resected Hepatocellular Carcinoma from Digital Histopathologic Images

Published:2024-09 Issue:9 Volume:194 Page:1684-1700
ISSN:0002-9440
Container-title:The American Journal of Pathology
language:en
Short-container-title:The American Journal of Pathology

Author:

Laurent-Bellue Astrid^ORCID,Sadraoui Aymen^ORCID,Claude Laura,Calderaro Julien,Posseme Katia,Vibert Eric,Cherqui Daniel,Rosmorduc Olivier,Lewin Maïté,Pesquet Jean-Christophe,Guettier Catherine^ORCID

Publisher

Elsevier BV

Reference88 articles.

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2. Predictors of five-year survival among patients with hepatocellular carcinoma in the United States: an analysis of SEER-Medicare;Zhang;Cancer Causes Control,2021

3. Liver resection for early hepatocellular carcinoma: preoperative predictors of non transplantable recurrence and implications for treatment allocation;Gelli;Ann Surg,2020

4. Hepatocellular carcinoma;Llovet;Nat Rev Dis Primers,2021

5. Resection of hepatocellular cancer ≤2 cm: results from two Western centers;Roayaie;Hepatology,2013

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1. Diagnostics and omics technologies for the detection and prediction of metabolic dysfunction-associated steatotic liver disease-related malignancies;Metabolism;2024-12

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