Evaluation of a novel deep learning–based classifier for perifissural nodules
Abstract
Objectives To evaluate the performance of a novel convolutional neural network (CNN) for the classification of typical perifissural nodules (PFN). Methods Chest CT data from two centers in the UK and The Netherlands (1668 unique nodules, 1260 individuals) were collected. Pulmonary nodules were classified into subtypes, including “typical PFNs” on-site, and were reviewed by a central clinician. The dataset was divided into a...
Paper Details
Title
Evaluation of a novel deep learning–based classifier for perifissural nodules
Published Date
Dec 2, 2020
Journal
Volume
31
Issue
6
Pages
4023 - 4030
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