Generalizability of AI-based image segmentation and centering estimation algorithm: a multi-region, multi-center, and multi-scanner study.

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Title: Generalizability of AI-based image segmentation and centering estimation algorithm: a multi-region, multi-center, and multi-scanner study.
Authors: S Krishna N; Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 75 Blossom Court, Suite 248, Boston, MA 02114, United States.; University of Connecticut School of Medicine, 200 Academic Wy, Farmington, CT 06032, United States., Garza-Frias E; Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 75 Blossom Court, Suite 248, Boston, MA 02114, United States., Dasegowda G; Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 75 Blossom Court, Suite 248, Boston, MA 02114, United States.; University of Arkansas for Medical Sciences, 4301 West Markham Street, Little Rock, AR 72205, United States., Kaviani P; Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 75 Blossom Court, Suite 248, Boston, MA 02114, United States., Karout L; Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 75 Blossom Court, Suite 248, Boston, MA 02114, United States., Fahimi R; Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 75 Blossom Court, Suite 248, Boston, MA 02114, United States., Bizzo B; Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 75 Blossom Court, Suite 248, Boston, MA 02114, United States., Dreyer KJ; Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 75 Blossom Court, Suite 248, Boston, MA 02114, United States., Kalra MK; Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 75 Blossom Court, Suite 248, Boston, MA 02114, United States., Digumarthy S; Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 75 Blossom Court, Suite 248, Boston, MA 02114, United States.
Source: Radiation protection dosimetry [Radiat Prot Dosimetry] 2025 Apr 22; Vol. 201 (6), pp. 441-449.
Publication Type: Journal Article; Multicenter Study
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 8109958 Publication Model: Print Cited Medium: Internet ISSN: 1742-3406 (Electronic) Linking ISSN: 01448420 NLM ISO Abbreviation: Radiat Prot Dosimetry Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1742-3406
DOI:10.1093/rpd/ncaf018