Exploration of Interpretability Techniques for Deep COVID-19 Classification Using Chest X-ray Images

Exploration of Interpretability Techniques for Deep COVID-19 Classification Using Chest X-ray Images

The outbreak of COVID-19 has shocked the entire world with its fairly rapid spread, and has challenged different sectors. One of the most effective ways to limit its spread is the early and accurate diagnosing of infected patients. Medical imaging, such as X-ray and computed tomography (CT), combine...

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Bibliographic Details
Main Authors: Soumick Chatterjee, Fatima Saad, Chompunuch Sarasaen, Suhita Ghosh, Valerie Krug, Rupali Khatun, Rahul Mishra, Nirja Desai, Petia Radeva, Georg Rose, Sebastian Stober, Oliver Speck, Andreas Nürnberger
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Journal of Imaging
Subjects:
COVID-19
pneumonia
chest X-ray
multilabel image classification
deep learning
model ensemble
Online Access:https://www.mdpi.com/2313-433X/10/2/45

Internet

https://www.mdpi.com/2313-433X/10/2/45

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