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    LitCovid-sentences

    {"project":"LitCovid-sentences","denotations":[{"id":"T96","span":{"begin":0,"end":65},"obj":"Sentence"},{"id":"T97","span":{"begin":66,"end":198},"obj":"Sentence"},{"id":"T98","span":{"begin":199,"end":342},"obj":"Sentence"},{"id":"T99","span":{"begin":343,"end":446},"obj":"Sentence"},{"id":"T100","span":{"begin":447,"end":525},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"a Pseudo-coloring for abnormal examples in the CXR and CT images. The original grayscale images were transformed into color images using the pseudo-coloring method and were annotated by the experts. The scale bar on the right is the range of pixel values of the image data. b Dimension normalization to reduce the dimensions in the CT images. The number of CT images were first resampled to a multiple of three and then divided into three groups. Followed by the 1 × 1 convolution layers to reduce the dimensions of the data."}