Algorithm sensitivity analysis and parameter tuning for tissue image segmentation pipelines | Zendy

George Teodoro | Zendy; Tahsin Kurç | Zendy; Luis F. R. Taveira | Zendy; Alba Cristina Magalhães Alves de Melo | Zendy; Yi Gao | Zendy; Jun Kong | Zendy; Joel Saltz | Zendy

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Algorithm sensitivity analysis and parameter tuning for tissue image segmentation pipelines

Author(s) -

George Teodoro,

Tahsin Kurç,

Luis F. R. Taveira,

Alba Cristina Magalhães Alves de Melo,

Yi Gao,

Jun Kong,

Joel Saltz

Publication year - 2016

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btw749

Subject(s) - computer science , jaccard index , workflow , scalability , segmentation , sensitivity (control systems) , data mining , source code , pipeline transport , pipeline (software) , image segmentation , scale (ratio) , image (mathematics) , pattern recognition (psychology) , artificial intelligence , database , physics , electronic engineering , environmental engineering , quantum mechanics , engineering , programming language , operating system

Sensitivity analysis and parameter tuning are important processes in large-scale image analysis. They are very costly because the image analysis workflows are required to be executed several times to systematically correlate output variations with parameter changes or to tune parameters. An integrated solution with minimum user interaction that uses effective methodologies and high performance computing is required to scale these studies to large imaging datasets and expensive analysis workflows.

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