Statistical testing of agreement in overlap-based performance between an AI segmentation device and a multi-expert human panel without requiring a reference standard.
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| Title: | Statistical testing of agreement in overlap-based performance between an AI segmentation device and a multi-expert human panel without requiring a reference standard. |
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| Authors: | Hu T; U.S. Food and Drug Administration, Silver Spring, Maryland, United States., Sahiner B; U.S. Food and Drug Administration, Silver Spring, Maryland, United States., Guan S; U.S. Food and Drug Administration, Silver Spring, Maryland, United States., Mikailov M; U.S. Food and Drug Administration, Silver Spring, Maryland, United States., Cha K; U.S. Food and Drug Administration, Silver Spring, Maryland, United States., Samuelson F; U.S. Food and Drug Administration, Silver Spring, Maryland, United States., Petrick N; U.S. Food and Drug Administration, Silver Spring, Maryland, United States. |
| Source: | Journal of medical imaging (Bellingham, Wash.) [J Med Imaging (Bellingham)] 2025 Sep; Vol. 12 (5), pp. 055003. Date of Electronic Publication: 2025 Oct 22. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Society of Photo-Optical Instrumentation Engineers Country of Publication: United States NLM ID: 101643461 Publication Model: Print-Electronic Cited Medium: Print ISSN: 2329-4302 (Print) Linking ISSN: 23294302 NLM ISO Abbreviation: J Med Imaging (Bellingham) Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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