Machine learning for malignant versus benign focal liver lesions on US and CEUS: a meta-analysis.

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Bibliographic Details
Title: Machine learning for malignant versus benign focal liver lesions on US and CEUS: a meta-analysis.
Authors: Campello CA; School of Medicine, Universidade Federal do Mato Grosso, 2367 Quarenta e Nove St, Cuiabá, Brazil., Castanha EB; School of Medicine, Universidade Federal de Pelotas, 538 Prof. Dr. Araújo St. Pelotas, Pelotas, Brazil., Vilardo M; School of Medicine, Universidade Catolica de Brasilia, QS 07, Brasília, Brazil., Staziaki PV; Department of Radiology, University of Vermont Medical Center, 111 Colchester Ave, Burlington, USA., Francisco MZ; Department of Radiology, Universidade Federal de Ciencias da Saude de Porto Alegre, 245 Sarmento Leite St, Porto Alegre, Brazil., Mohajer B; Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 N Caroline St, Baltimore, USA., Watte G; Department of Radiology, Universidade Federal de Ciencias da Saude de Porto Alegre, 245 Sarmento Leite St, Porto Alegre, Brazil., Moraes FY; Department of Oncology, Queen's University, 76 Stuart St, Kingston, Canada., Hochhegger B; Department of Radiology, University of Florida, 1600 SW Archer Rd, Gainesville, USA., Altmayer S; Department of Radiology, Stanford University, 300 Pasteur Drive, Suite H1330, Stanford, USA. altmayer@stanford.edu.
Source: Abdominal radiology (New York) [Abdom Radiol (NY)] 2023 Oct; Vol. 48 (10), pp. 3114-3126. Date of Electronic Publication: 2023 Jun 26.
Publication Type: Meta-Analysis; Journal Article
Journal Info: Publisher: Springer Country of Publication: United States NLM ID: 101674571 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2366-0058 (Electronic) NLM ISO Abbreviation: Abdom Radiol (NY) Subsets: MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:2366-0058
DOI:10.1007/s00261-023-03984-0