<i>Hercules</i>: Deep Hierarchical Attentive Multilevel Fusion Model With Uncertainty Quantification for Medical Image Classification-Reference-Cited by-同舟云学术

Hercules: Deep Hierarchical Attentive Multilevel Fusion Model With Uncertainty Quantification for Medical Image Classification

Published:2023-01 Issue:1 Volume:19 Page:274-285
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Abdar Moloud¹^ORCID,Fahami Mohammad Amin²^ORCID,Rundo Leonardo³^ORCID,Radeva Petia⁴^ORCID,Frangi Alejandro F.⁵^ORCID,Acharya U. Rajendra⁶^ORCID,Khosravi Abbas¹^ORCID,Lam Hak-Keung⁷^ORCID,Jung Alexander⁸^ORCID,Nahavandi Saeid¹^ORCID

Affiliation:

1. Institute for Intelligent Systems Research and Innovation, Deakin University, Waurn Ponds, VIC, Australia

2. Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, Iran

3. Department of Radiology, University of Cambridge, Cambridge, U.K.

4. Mathematics and Computer Science Department, University of Barcelona, Barcelona, Spain

5. Centre for Computational Imaging and Simulation Technologies in Biomedicine, School of Computing and School of Medicine, University of Leeds, Leeds, U.K.

6. Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, Clementi, Singapore

7. Centre for Robotics Research, Department of Engineering, King’s College London, London, U.K.

8. Department of Computer Science, Aalto University, Espoo, Finland

Funder

Australian Research Council’s Discovery Projects

The Mark Foundation for Cancer Research and Cancer Research U.K. Cambridge Centre

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/9944026/09763036.pdf?arnumber=9763036

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