Skip to content

Clinical-Grade Lymphoma Diagnosis and Subtyping Using Weakly Supervised Federated Learning Framework

Research and Clinical Validation of an AI-Pathology Auxiliary Diagnostic System for Lymphoma

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600117957
Enrollment
Unknown
Registered
2026-01-30
Start date
2026-01-31
Completion date
Unknown
Last updated
2026-02-02

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

Conditions

Diagnosis of Benign and Malignant Lymphoid Tissue, and Classification of Malignant Lymphoma

Interventions

Gold Standard:Pathologic Diagnosis from original hospitals
Index test:Digitally scanned HE (H&E) slides

Sponsors

Guangdong Provincial People's Hospital(Guangdong Academy of Medical Sciences)
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1.HE-stained sections of lymphoma and benign lymphoid tissue lesions from January 2021 to March 2025, with complete pathological diagnoses. 2.The sections are well-preserved, with no overlapping or air bubbles.

Exclusion criteria

Exclusion criteria: 1.Samples with incomplete traceability information or other required records; 2.Cases with faded specimens; 3.Frozen samples; 4.Samples with HE staining that does not meet quality control requirements; 5.Other situations deemed unsuitable for inclusion by the investigator.

Design outcomes

Primary

MeasureTime frame
Accuracy;

Countries

China

Contacts

Public ContactZhang Qingling

Guangdong Provincial People's Hospital(Guangdong Academy of Medical Sciences)

zqllc8@126.com+86 20 8382 7812

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 7, 2026