Detection of COVID-19 in X-ray Images Using Densely Connected Squeeze Convolutional Neural Network (DCSCNN): Focusing on Interpretability and Explainability of the Black Box Model

Detection of COVID-19 in X-ray Images Using Densely Connected Squeeze Convolutional Neural Network (DCSCNN): Focusing on Interpretability and Explainability of the Black Box Model

The novel coronavirus (COVID-19), which emerged as a pandemic, has engulfed so many lives and affected millions of people across the world since December 2019. Although this disease is under control nowadays, yet it is still affecting people in many countries. The traditional way of diagnosis is tim...

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Bibliographic Details
Main Authors: Sikandar Ali, Ali Hussain, Subrata Bhattacharjee, Ali Athar, Abdullah, Hee-Cheol Kim
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Sensors
Subjects:
artificial intelligence
X-ray
COVID-19
classification
detection
AI explainability
Online Access:https://www.mdpi.com/1424-8220/22/24/9983

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