Accuracy of machine learning models for pre-diagnosis and diagnosis of pancreatic ductal adenocarcinoma in contrast-CT images: a systematic review and meta-analysis.
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| Title: | Accuracy of machine learning models for pre-diagnosis and diagnosis of pancreatic ductal adenocarcinoma in contrast-CT images: a systematic review and meta-analysis. |
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| Authors: | Lopes Costa GL; Federal University of Santa Catarina, Florianópolis, Brazil. gerrard_lucas@hotmail.com.; Brazilian Center for Evidence-Based Research, Federal University of Santa Catarina, Florianópolis, Brazil. gerrard_lucas@hotmail.com., Tasca Petroski G; Federal University of Santa Catarina, Florianópolis, Brazil.; Brazilian Center for Evidence-Based Research, Federal University of Santa Catarina, Florianópolis, Brazil., Machado LG; Federal University of Santa Catarina, Florianópolis, Brazil.; Brazilian Center for Evidence-Based Research, Federal University of Santa Catarina, Florianópolis, Brazil., Eulalio Santos B; Federal University of Santa Catarina, Florianópolis, Brazil., de Oliveira Ramos F; Federal University of Santa Catarina, Florianópolis, Brazil., Feuerschuette Neto LM; Radiology Department, Ultralitho Centro Médico, Florianópolis, Brazil., De Luca Canto G; Brazilian Center for Evidence-Based Research, Federal University of Santa Catarina, Florianópolis, Brazil. |
| Source: | Abdominal radiology (New York) [Abdom Radiol (NY)] 2025 Jul; Vol. 50 (7), pp. 3199-3213. Date of Electronic Publication: 2024 Dec 25. |
| Publication Type: | Journal Article; Systematic Review; Meta-Analysis |
| 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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| ISSN: | 2366-0058 |
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| DOI: | 10.1007/s00261-024-04771-1 |
