Explaining COVID-19 diagnosis with Taylor decompositions
Author:
Funder
King Abdulaziz City for Science and Technology
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-022-08021-7.pdf
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3. Al-Waisy AS, Al-Fahdawi S, Mohammed MA, Abdulkareem KH, Mostafa SA, Maashi MS, Arif M, Garcia-Zapirain B (2020) COVID-CheXNet: hybrid deep learning framework for identifying COVID-19 virus in chest X-rays images. Soft Computing
4. Alshazly H, Linse C, Barth E, Martinetz T (2021) Explainable COVID-19 detection using chest CT scans and deep learning. Sensors 21(2)
5. Aviles-Rivero AI, Sellars P, Schönlieb CB, Papadakis N (2022) Graphxcovid: explainable deep graph diffusion pseudo-labelling for identifying covid-19 on chest x-rays. Pattern Recogn 122:108274
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