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Construction of image improvement system using deep learning in cardionuclear medicine

Construction of image improvement system using deep learning in cardionuclear medicine - Study of nuclear medicine image improvement by deep learning

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
JPRN
Registry ID
JPRN-UMIN000045058
Enrollment
650
Registered
2021-08-05
Start date
2018-03-15
Completion date
Unknown
Last updated
2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cardiac nuclear medicine

Interventions

None listed

Sponsors

Hokaido Univercity of Sience
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Cases suspected of having heart disease

Exclusion criteria

Exclusion criteria: Cases where images cannot be generated

Design outcomes

Primary

MeasureTime frame
Evaluate of improvement in myocardial image using a count curve

Countries

Japan

Contacts

Public ContactAkihiro Kikuchi

Hokaido Univercity of Sience Department of Radiological Technology Faculty of Health Sciences/Hokkaido Univer

kikuchi-a@hus.ac.jp011-688-2360

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026