An Accurate and Explainable Deep Learning System Improves Interobserver Agreement in the Interpretation of Chest Radiograph

An Accurate and Explainable Deep Learning System Improves Interobserver Agreement in the Interpretation of Chest Radiograph

Interpretation of chest radiographs (CXR) is a difficult but essential task for detecting thoracic abnormalities. Recent artificial intelligence (AI) algorithms have achieved radiologist-level performance on various medical classification tasks. However, only a few studies addressed the localization...

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Bibliographic Details
Main Authors: Hieu H. Pham, Ha Q. Nguyen, Hieu T. Nguyen, Linh T. Le, Lam Khanh
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Chest X-ray interpretation
deep learning
image classification
object detection
Online Access:https://ieeexplore.ieee.org/document/9909990/

Internet

https://ieeexplore.ieee.org/document/9909990/

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