Cardiomegaly Detection on Chest Radiographs: Segmentation Versus Classification

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...

Full description

Bibliographic Details
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
Series:IEEE Access
Subjects:
Deep learning
chest radiographs
anatomy segmentations
cardiomegaly
Online Access:https://ieeexplore.ieee.org/document/9096290/

Internet

https://ieeexplore.ieee.org/document/9096290/

Similar Items