Original paper
Development and validation of a clinically applicable deep learning strategy (HONORS) for pulmonary nodule classification at CT: A retrospective multicentre study
Abstract
Purpose To propose a practical strategy for the clinical application of deep learning algorithm, i.e., Hierarchical-Ordered Network-ORiented Strategy (HONORS), and a new approach to pulmonary nodule classification in various clinical scenarios, i.e., Filter-Guided Pyramid NETwork (FGP-NET). Materials and methods We developed and validated FGP-NET on a collection of 2106 pulmonary nodules on computed tomography images which combined screened and...
Paper Details
Title
Development and validation of a clinically applicable deep learning strategy (HONORS) for pulmonary nodule classification at CT: A retrospective multicentre study
Published Date
May 1, 2021
Journal
Volume
155
Pages
78 - 86
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Notes
History