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Fast Image Segmentation Toward Automation of 3D Ice Printing.

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Bibliographic Details
Title: Fast Image Segmentation Toward Automation of 3D Ice Printing.
Authors: Garcia A; Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15232, United States., Garg A; Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15232, United States., Yang F; Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15232, United States., Ozdoganlar OB; Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15232, United States.; Biomedical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15232, United States.; Materials Science and Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15232, United States., LeDuc PR; Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15232, United States.; Biomedical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15232, United States.; Biological Sciences, Carnegie Mellon University, Pittsburgh, Pennsylvania 15232, United States.; Computational Biology, Carnegie Mellon University, Pittsburgh, Pennsylvania 15232, United States.
Source: Chemical & biomedical imaging [Chem Biomed Imaging] 2026 Jan 14; Vol. 4 (6), pp. 1068-1075. Date of Electronic Publication: 2026 Jan 14 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: American Chemical Society Country of Publication: United States NLM ID: 9918574388106676 Publication Model: eCollection Cited Medium: Internet ISSN: 2832-3637 (Electronic) Linking ISSN: 28323637 NLM ISO Abbreviation: Chem Biomed Imaging Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2832-3637
DOI:10.1021/cbmi.5c00064