Diagnostic accuracy of convolutional neural network algorithms to distinguish gastrointestinal obstruction on conventional radiographs in a pediatric population.
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| Title: | Diagnostic accuracy of convolutional neural network algorithms to distinguish gastrointestinal obstruction on conventional radiographs in a pediatric population. |
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| Authors: | Ayaz E; Diyarbakır Children's Hospital, Radiology Clinic, Diyarbakır; Current: University of Health Sciences Türkiye, Başakşehir Çam and Sakura City Hospital, Department of Radiology, İstanbul, Türkiye., Güçlü H; İstanbul Medeniyet University Faculty of Engineering and Natural Sciences, Department of Biostatistics and Medical Informatics, İstanbul; Current: TOBB University of Economics and Technology, Department of Artificial Intelligence Engineering, Ankara, Türkiye., Oktay AB; Yıldız Technical University Faculty of Engineering, Department of Computer Engineering, İstanbul, Türkiye. |
| Source: | Diagnostic and interventional radiology (Ankara, Turkey) [Diagn Interv Radiol] 2026 Mar 02; Vol. 32 (2), pp. 233-241. Date of Electronic Publication: 2025 Feb 28. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Galenos Publishing House Country of Publication: Turkey NLM ID: 101241152 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1305-3612 (Electronic) Linking ISSN: 13053825 NLM ISO Abbreviation: Diagn Interv Radiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1305-3612 |
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| DOI: | 10.4274/dir.2025.242950 |
