Cardiomegaly Detection on Chest Radiographs: Segmentation Versus Classification

In this study, we investigate the detection of cardiomegaly on frontal chest radiographs through two alternative deep-learning approaches - via anatomical segmentation and via image-level classification. We used the publicly available ChestX-ray14 dataset, and obtained heart and lung segmentation an...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Ecem Sogancioglu, Keelin Murphy, Erdi Calli, Ernst T. Scholten, Steven Schalekamp, Bram Van Ginneken
Format:	Article
Language:	English
Published:	IEEE 2020-01-01
Subjects:	Deep learning chest radiographs anatomy segmentations cardiomegaly
Online Access:	https://ieeexplore.ieee.org/document/9096290/