10 items found

Tags: MARCO

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  • dataset

    r37980778c78--ecc463b2829b01f2b44fda413025e12a

    Final number of images in the dataset for each category after collapsing the labels and relabeling.
  • dataset

    Additional file 1: Table S1. of Evaluation of the relationship between MARCO ...

    PTB patients information. Some laboratory examination results and clinical findings were listed. (XLSX 32Â kb)
  • dataset

    r37980778c78--f8c66a3ccc0ade036581a1a1a275d618

    Breakdown of data sources and imaging technology per institution contributing to MARCO.
  • dataset

    r37980778c78--f112e46a454c5478e8e5deaa8393d132

    Note in particular the large variability in the consistency of the label ‘Other’ across datasets, which leads to comparatively poor selectivity of that less well-defined class.
  • dataset

    Confusion matrix.

    Ligatures having sizes S1, S2, S3 and S4 are shown along y-axis, as a test data, and along x-axis as training data. The correct classification rate (%) is shown at intersections...
  • dataset

    Additional file 2: Table S2. of Evaluation of the relationship between MARCO ...

    Controls information. Some laboratory examination results and clinical findings were listed. (XLSX 33 kb)
  • dataset

    Validation at C3 Precision, recall and accuracy from an independent set of im...

    The 38K images of sitting drop trials were collected between January 1 and March 30, 2018 on two Formulatrix Rock Imager (FRI) instruments.
  • publication

    Identifying N-linked glycan moiety and motifs in the cysteine-rich domain cri...

    Background The accumulation of soluble oligomeric amyloid-β peptide (oAβ) proceeding the formation of senile plaques contributes to synaptic and memory deficits in Alzheimer’s...
  • dataset

    Subject demographics.

    All values represent either number of subjects or the mean±SEM. aRepresents years of education completed. Completion of GED scored as 12 years. The groups were significantly...
  • dataset

    Limits applied to layer depths to reduce the model complexity.

    In each named layer of the deep network—here named after the conventions of the reference implementation—every convolutional subblock had its number of filters reduced to...