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An Aggregation of Aggregation Methods in Computational Pathology. (arXiv:2211.01256v1 [cs.CV])
Nov. 3, 2022, 1:15 a.m. | Mohsin Bilal, Robert Jewsbury, Ruoyu Wang, Hammam M. AlGhamdi, Amina Asif, Mark Eastwood, Nasir Rajpoot
cs.CV updates on arXiv.org arxiv.org
Image analysis and machine learning algorithms operating on multi-gigapixel
whole-slide images (WSIs) often process a large number of tiles (sub-images)
and require aggregating predictions from the tiles in order to predict
WSI-level labels. In this paper, we present a review of existing literature on
various types of aggregation methods with a view to help guide future research
in the area of computational pathology (CPath). We propose a general CPath
workflow with three pathways that consider multiple levels and types of …
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