Work

Segmentation method comparison for residual fiber length measurement across tiled microscopy images

Year: 2026

Type: article

Source: Next research.

DOI: 10.1016/j.nexres.2026.101360

Authors: Chris O’Brien, Jay Pike, Luis Martinez, Chad Duty, Seokpum Kim, Kris Villez

Institutions: Oak Ridge National Laboratory, University of Tennessee at Knoxville

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Science Foundation, U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, Advanced Manufacturing Office

Awards: G524981425, Collaborative Research: Controlling the Microstructure for Improved Mechanical Properties of Large-scale Polymer Composite Structures Made by Big Area Additive Manufacturing

OpenAlex ID: W7124458457

FWCI:

Cites: 50

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