Back to search

Article

Hybrid Quantum-Classical Architectures in Medical Imaging: A Taxonomy-Based Survey of COVID-19 Models

2026-05-06

Abstract excerpt

This paper surveys the emerging field of hybrid quantum–classical (HQC) architectures for medical image analysis, with a particular focus on COVID-19 classification as a rep-resentative application. Despite extensive progress in quantum machine learning, there is still a lack of structured taxonomy-driven analysis that systematically characterizes how quantum components are integrated within hybrid imaging pipelin...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
5e44aec6-5820-5b85-834c-1c2540f19877
DOI
10.20944/preprints202605.0229.v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Hybrid Quantum-Classical Architectures in Medical Imaging: A Taxonomy-Based Survey of COVID-19 ModelsDOI 10.20944/preprints202605.0229.v1
Select a neighboring publication to make it the new centre.