Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks

Modern pathology diagnostics is being driven toward large scale digitization of microscopic tissue sections. A prerequisite for its safe implementation is the guarantee that all tissue present on a glass slide can also be found back in the digital image. Whole-slide scanners perform a tissue segment...

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Bibliographic Details
Published in:PeerJ
Main Authors: Bándi, Péter, Balkenhol, Maschenka, van Ginneken, Bram, van der Laak, Jeroen, Litjens, Geert
Format: Artigo
Language:Inglês
Published: PeerJ Inc. 2019
Subjects:
Pathology
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC6924324/
https://ncbi.nlm.nih.gov/pubmed/31871843
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj.8242
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