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

Overview of attention for article published in Frontiers in Bioinformatics, December 2023

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Get the code and complete annotations for the data used in this study in the @NCIHTAN data portal. #DeepLearning

In a study supported by @NCIsysbio & #HTAN, @Guillou76, @BousselhamWalid, et al. @OHSUKnight compared #DeepLearning models and their performances segmenting cell components from #ElectronMicroscopy cancer images @FrontBioinf https://t.co/piZf2xPSdq. ht

In a study supported by #NCICSBC and @NCIHTAN, researchers @OHSUKnight developed #DeepLearning models for segmenting nuclei and nucleoli in #ElectronMicroscopy images of tumors @FrontBioinf https://t.co/jEAz0KMpJC. https://t.co/cwgs65XXzT

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