Artificial intelligence in digital pathology: a diagnostic test accuracy systematic review and meta-analysis

no code implementations • 13 Jun 2023 • Clare McGenity, Emily L Clarke, Charlotte Jennings, Gillian Matthews, Caroline Cartlidge, Henschel Freduah-Agyemang, Deborah D Stocken, Darren Treanor

This systematic review and meta-analysis included diagnostic accuracy studies using any type of artificial intelligence applied to whole slide images (WSIs) in any disease type.

Specificity whole slide images

Navigating the reporting guideline environment for computational pathology: A review

no code implementations • 3 Jan 2023 • Clare McGenity, Darren Treanor

The aim of this work is to highlight resources and reporting guidelines available to researchers working in computational pathology.

Weakly-supervised learning for image-based classification of primary melanomas into genomic immune subgroups

no code implementations • 23 Feb 2022 • Lucy Godson, Navid Alemi, Jeremie Nsengimana, Graham P. Cook, Emily L. Clarke, Darren Treanor, D. Timothy Bishop, Julia Newton-Bishop, Ali Gooya

Previous subtyping approaches have employed supervised learning which requires fully annotated data, or have only examined single genetic mutations in melanoma patients.

Multiple Instance Learning Weakly-supervised Learning