Author

A. A. Meade

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

A. Blake· 1 shared A. Chatzipli· 1 shared A. D. Beggs· 1 shared C. Hardy· 1 shared C. Verrill· 1 shared C. Whalley· 1 shared C.-H. Wu· 1 shared E. Domingo· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperCancer Biology

A. Blake

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1 paper

Recent·Most cited

Image-based consensus molecular subtype classification (imCMS) of colorectal cancer using deep learning

K. Sirinukunwattana, E. Domingo, S. Richman, K. L. Redmond, A. Blake, C. Verrill, S. J. Leedham, A. Chatzipli, C. Hardy, C. Whalley, C.-H. Wu, A. D. Beggs, U. McDermott, P. Dunne, A. A. Meade, , V. Koelzer

This paper develops imCMS, a deep learning method to classify colorectal cancer subtypes from histological images, showing improved accuracy over bioinformatic methods.

Gut · Jul 20, 2020Peer-reviewedCancer Biology