Evaluation of a novel deep learning–based classifier for perifissural nodules
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DOI: 10.1007/s00330-020-07509-x
Abstract: To evaluate the performance of a novel convolutional neural network (CNN) for the classification of typical perifissural nodules (PFN). Chest CT data from two centers in the UK and The Netherlands (1668 unique nodules, 1260… read more here.
Keywords: agreement; reader; pfns; perifissural nodules ... See more keywords
Classification of CT Pulmonary Opacities as Perifissural Nodules: Reader Variability.
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DOI: 10.1148/radiol.2018172771
Abstract: Purpose To study interreader variability for classifying pulmonary opacities at CT as perifissural nodules (PFNs) and determine how reliably radiologists differentiate PFNs from malignancies. Materials and Methods CT studies were obtained retrospectively from the National… read more here.
Keywords: opacities perifissural; nodules classified; variability; perifissural nodules ... See more keywords