Explanation of the Convolutional Neural Network Classifying Chest X-Ray Images Supporting Pneumonia Diagnosis

Medical images are valuable sources for disease diagnosis. Besides, advancements in deep learning in recent years havebeen supporting disease diagnosis methods based on images to obtain numerous achievements. However, deep learningalgorithms still work as a black-box so it is difficult to interpret...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:EAI endorsed transactions on context-aware systems and applications. 2020-09, Vol.7 (21), p.165349
Hauptverfasser: Nguyen, Hai, Huynh, Hoang, Tran, Toan, Huynh, Hiep
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Medical images are valuable sources for disease diagnosis. Besides, advancements in deep learning in recent years havebeen supporting disease diagnosis methods based on images to obtain numerous achievements. However, deep learningalgorithms still work as a black-box so it is difficult to interpret output from these algorithms. In this study, we propose aconvolutional network architecture to classify Chest X-ray images as well as apply explanation approaches for trainedmodels to support disease diagnosis. The proposed method provides insights in medical images to support Pneumoniadiagnosis.
ISSN:2409-0026
2409-0026
DOI:10.4108/eai.13-7-2018.165349