Assessment of image quality on the diagnostic performance of clinicians and deep learning models: Cross‐sectional comparative reader study

This study highlights the importance of image quality on the diagnostic performance of clinicians and deep learning models. This has significant implications for telehealth reporting and triage.

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Publication Details

Journal
Journal of the European Academy of Dermatology and Venereology
Published
2024-12-10
DOI
https://doi.org/10.1111/jdv.20462
Citations
2
Primary Topic
Cutaneous Melanoma Detection and Management
Type
article
Field-Weighted Citation Impact
0.57
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article

Assessment of image quality on the diagnostic performance of clinicians and deep learning models: Cross‐sectional comparative reader study

Maithili Sashindranath, Zongyuan Ge, Nikki R. Adler, Michelle Goh et al.
2 citations
Journal of the European Academy of Dermatology and Venereology
Cutaneous Melanoma Detection and Management
0.57
article

Assessment of image quality on the diagnostic performance of clinicians and deep learning models: Cross‐sectional comparative reader study

Maithili Sashindranath, Zongyuan Ge, Nikki R. Adler, Michelle Goh, Søren Kristiansen, Teo Helkkula, Zachary Holmes, Emma Hiscutt, H. Peter Soyer, Åsa Ingvar, Adriana L. Caixinha, Tine Vestergaard, Deval Mehta, Victoria Mar, L. Niklasson, Trine Bertelsen, Ibukun Oloruntoba, C. McCormack, Kasper Bostlund Assersen, S. Adamson, Alex J Chamberlain, Thuvarahan Jegathees, Virginia Velasco‐Tamariz, Cristina Vico‐Alonso, Thanh D. Nguyen, R. Toholka
article en
2 citations

Abstract

This study highlights the importance of image quality on the diagnostic performance of clinicians and deep learning models. This has significant implications for telehealth reporting and triage.

Journal of the European Academy of Dermatology and VenereologyVol. 39(7)
The University of Queensland (AU), Lund University (SE), Peter MacCallum Cancer Centre (AU), Odense University Hospital (DK), Aarhus University Hospital (DK), Hospital Universitario 12 De Octubre (ES), Skåne University Hospital (SE), Alfred Health (AU), Monash University (AU)
Openalex Percentile: Top 26%
Cutaneous Melanoma Detection and Management
0.57
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