3-D Quantum-Inspired Self-Supervised Tensor Network for Volumetric Segmentation of Medical Images-Reference-Cited by-同舟云学术

3-D Quantum-Inspired Self-Supervised Tensor Network for Volumetric Segmentation of Medical Images

Published:2023 Issue: Volume: Page:1-14
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Konar Debanjan¹^ORCID,Bhattacharyya Siddhartha²^ORCID,Gandhi Tapan K.³^ORCID,Panigrahi Bijaya K.³,Jiang Richard⁴^ORCID

Affiliation:

1. Center for Advanced Systems Understanding (CASUS), Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Görlitz, Germany

2. Rajnagar Mahavidyalaya, Birbhum, India

3. Department of Electrical Engineering, IIT Delhi, New Delhi, India

4. School of Computing and Communications, Lancaster University, Lancaster, U.K.

Funder

Germany’s Federal Ministry of Education and Research (BMBF) and by the Saxon state government out of the state budget approved by the Saxon State Parliament

Engineering and Physical Sciences Research Council

Cadence Chair Professor Fellowship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/10038494.pdf?arnumber=10038494

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