A Fuzzy Cognitive Map Learning Approach for Coronary Artery Disease Diagnosis in Nuclear Medicine-Reference-Cited by-同舟云学术

A Fuzzy Cognitive Map Learning Approach for Coronary Artery Disease Diagnosis in Nuclear Medicine

Published:2023 Issue: Volume: Page:14-25
ISSN:0302-9743
Container-title:Fuzzy Logic and Technology, and Aggregation Operators
language:
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Author:

Feleki Anna,Apostolopoulos Ioannis D.^ORCID,Papageorgiou Konstantinos,Papageorgiou Elpiniki I.^ORCID,Apostolopoulos Dimitris J.,Papandrianos Nikolaos I.^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-39965-7_2

Reference19 articles.

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2. Papandrianos, N., Papageorgiou, E.: Automatic diagnosis of coronary artery disease in SPECT myocardial perfusion imaging employing deep learning. Appl. Sci. 11, 6362 (2021). https://doi.org/10.3390/app11146362

3. Apostolopoulos, I.D., Papathanasiou, N.D., Spyridonidis, T., Apostolopoulos, D.J.: Automatic characterization of myocardial perfusion imaging polar maps employing deep learning and data augmentation. Hell. J. Nucl. Med. 23, 125–132 (2020). https://doi.org/10.1967/s002449912101

4. Zreik, M., et al.: Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis. Med. Image Anal. 44, 72–85 (2018). https://doi.org/10.1016/j.media.2017.11.008

5. Papandrianos, N.I., Apostolopoulos, I.D., Feleki, A., Apostolopoulos, D.J., Papageorgiou, E.I.: Deep learning exploration for SPECT MPI polar map images classification in coronary artery disease. Ann. Nucl. Med. 36, 823–833 (2022). https://doi.org/10.1007/s12149-022-01762-4

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