Artigo Acesso aberto Revisado por pares

QuPath: Open source software for digital pathology image analysis

2017; Nature Portfolio; Volume: 7; Issue: 1 Linguagem: Inglês

10.1038/s41598-017-17204-5

ISSN

2045-2322

Autores

Peter Bankhead, Maurice B. Loughrey, José A. Fernández, Yvonne Dombrowski, Darragh G. McArt, Philip D. Dunne, Stephen McQuaid, Ronan T. Gray, Liam Murray, Helen G. Coleman, Jacqueline A. James, Manuel Salto‐Tellez, Peter W. Hamilton,

Tópico(s)

Radiomics and Machine Learning in Medical Imaging

Resumo

QuPath is new bioimage analysis software designed to meet the growing need for a user-friendly, extensible, open-source solution for digital pathology and whole slide image analysis. In addition to offering a comprehensive panel of tumor identification and high-throughput biomarker evaluation tools, QuPath provides researchers with powerful batch-processing and scripting functionality, and an extensible platform with which to develop and share new algorithms to analyze complex tissue images. Furthermore, QuPath's flexible design makes it suitable for a wide range of additional image analysis applications across biomedical research.

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