Optimal matrix size of chest radiographs for computer-aided detection on lung nodule or mass with deep learning.

Objectives: To investigate the optimal input matrix size for deep learning-based computer-aided detection (CAD) of nodules and masses on chest radiographs.Methods: We retrospectively collected 2088 abnormal (nodule/mass) and 352 normal chest radiographs from two institutions. Three thoracic radiolog...

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Bibliographic Details

Published in:	European Radiology Vol. 30; no. 9; pp. 4943 - 4952
Main Authors:	Kim, Young-Gon, Lee, Sang Min, Lee, Kyung Hee, Jang, Ryoungwoo, Seo, Joon Beom, Kim, Namkug
Format:	research Journal Article
Published:	Springer Nature Sep2020
Online Access:	View this record in EBSCOhost