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Efficient semi-supervised semantic segmentation of electron microscopy cancer images with sparse annotations

Electron microscopy (EM) enables imaging at a resolution of nanometers and can shed light on how cancer evolves to develop resistance to therapy. Acquiring these images has become a routine task.However, analyzing them is now a bottleneck, as manual structure identification is very time-consuming an...

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Bibliografische Detailangaben
Hauptverfasser: Lucas Pagano, Guillaume Thibault, Walid Bousselham, Jessica L. Riesterer, Xubo Song, Joe W. Gray
Format: Artigo
Sprache:Inglês
Veröffentlicht: Frontiers Media S.A. 2023-12-01
Schriftenreihe:Frontiers in Bioinformatics
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Online-Zugang:https://www.frontiersin.org/articles/10.3389/fbinf.2023.1308707/full
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