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The human-in-the-lo...
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Bodén, AnnaLinköpings universitet,Avdelningen för neurobiologi,Medicinska fakulteten,Region Östergötland, Klinisk patologi
(författare)
The human-in-the-loop : an evaluation of pathologists interaction with artificial intelligence in clinical practice
- Artikel/kapitelEngelska2021
Förlag, utgivningsår, omfång ...
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2021-05-30
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Wiley-Blackwell,2021
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electronicrdacarrier
Nummerbeteckningar
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LIBRIS-ID:oai:DiVA.org:liu-176160
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https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176160URI
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https://doi.org/10.1111/his.14356DOI
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Språk:engelska
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Sammanfattning på:engelska
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Ämneskategori:ref swepub-contenttype
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Ämneskategori:art swepub-publicationtype
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Funding Agencies|ALF grant from Region Ostergotland
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Aims: One of the major drivers of the adoption of digital pathology in clinical practice is the possibility of introducing digital image analysis (DIA) to assist with diagnostic tasks. This offers potential increases in accuracy, reproducibility, and efficiency. Whereas stand-alone DIA has great potential benefit for research, little is known about the effect of DIA assistance in clinical use. The aim of this study was to investigate the clinical use characteristics of a DIA application for Ki67 proliferation assessment. Specifically, the human-in-the-loop interplay between DIA and pathologists was studied. Methods and results: We retrospectively investigated breast cancer Ki67 areas assessed with human-in-the-loop DIA and compared them with visual and automatic approaches. The results, expressed as standard deviation of the error in the Ki67 index, showed that visual estimation (eyeballing) (14.9 percentage points) performed significantly worse (P < 0.05) than DIA alone (7.2 percentage points) and DIA with human-in-the-loop corrections (6.9 percentage points). At the overall level, no improvement resulting from the addition of human-in-the-loop corrections to the automatic DIA results could be seen. For individual cases, however, human-in-the-loop corrections could address major DIA errors in terms of poor thresholding of faint staining and incorrect tumour-stroma separation. Conclusion: The findings indicate that the primary value of human-in-the-loop corrections is to address major weaknesses of a DIA application, rather than fine-tuning the DIA quantifications.
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Biuppslag (personer, institutioner, konferenser, titlar ...)
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Molin, JesperSectra AB, Linkoping, Sweden
(författare)
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Garvin, StinaLinköpings universitet,Avdelningen för neurobiologi,Medicinska fakulteten,Region Östergötland, Klinisk patologi(Swepub:liu)stiga03
(författare)
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West, Rebecca A.Leeds Teaching Hosp NHS Trust, England; Dewsbury & Dist Hosp, England
(författare)
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Lundström, ClaesLinköpings universitet,Medie- och Informationsteknik,Tekniska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Sectra AB, Linkoping, Sweden(Swepub:liu)clalu03
(författare)
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Treanor, DarrenLinköpings universitet,Avdelningen för inflammation och infektion,Medicinska fakulteten,Region Östergötland, Klinisk patologi,Leeds Teaching Hosp NHS Trust, England; Univ Leeds, England(Swepub:liu)dartr72
(författare)
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Linköpings universitetAvdelningen för neurobiologi
(creator_code:org_t)
Sammanhörande titlar
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Ingår i:Histopathology: Wiley-Blackwell79:2, s. 210-2180309-01671365-2559
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