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The need for measurement science in digital pathology

Journal of Pathology Informatics(2022)

Cited 2|Views12
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Abstract
•A change to vendor-neutral open standard for images and annotations is essential to improve data management, sharing and re-use.•Lack of standardised data hinders development of AI/ML tools for pathology.•Frequency and scope of instrument calibration vary a lot between laboratories.•Standardised calibration tools are needed to yield consistent comparable images.•Pathology community needs own metrics to assess AI/ML performance.
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Key words
Digital pathology,DICOM,FAIR principles,Metrology,Calibration,Whole slide imaging,Artificial intelligence,Machine learning,Metadata,Standards
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