Chest Radiographs in Congestive Heart Failure: Visualizing Neural Network Learning

Purpose To examine Generative Visual Rationales (GVRs) as a tool for visualizing neural network learning of chest radiograph features in congestive heart failure (CHF). Materials and Methods A total of 103 489 frontal chest radiographs in 46 712 patients acquired from January 1, 2007, to December 31...

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Veröffentlicht in:	Radiology 2019-02, Vol.290 (2), p.514-522
Hauptverfasser:	Seah, Jarrel C Y, Tang, Jennifer S N, Kitchen, Andy, Gaillard, Frank, Dixon, Andrew F
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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