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Development of artificial intelligence-based pathologic diagnosis system on regional lymph nodes metastasis of gastric cancer

Development of artificial intelligence-based pathologic diagnosis system on regional lymph nodes metastasis of gastric cancer

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR1800017426
Enrollment
Unknown
Registered
2018-07-30
Start date
2018-07-30
Completion date
Unknown
Last updated
2018-08-20

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

Conditions

gastric cancer

Interventions

Gold Standard:According to the pathologist's diagnosis, a pathological image of metastatic lymph nodes of gastric cancer has been reported.
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the&#32
selected&#32
gastric&#32
cancer&#32
positive&#32
metastatic&#32
lymph&#32
nodes&#32
were&#32
classified&#32
into&#32
binary&#32
databases&#32
used&#32
for&#32
artificial&#32
intelligence&#32
learning.&#32

Sponsors

Affiliated Hospital of Qiingdao University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 100 Years

Inclusion criteria

Inclusion criteria: Pathological images of metastatic lymph nodes of gastric cancer reported

Exclusion criteria

Exclusion criteria: Pathological images of non metastatic lymph nodes of gastric cancer reported

Design outcomes

Primary

MeasureTime frame
Lymph nude;Accuracy;—

Countries

China

Contacts

Public ContactLu Yun

Affiliated Hospital of Qiingdao University

cloudylucn@126.com+86 18661802231

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026