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A Smartphone Photography-Based Clinical Decision Support Framework for Fine-Grained Classification of Benign Pigmented Skin Lesions

Intelligent recognition and diagnosis of skin masses

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600128445
Enrollment
Unknown
Registered
2026-07-20
Start date
2025-02-20
Completion date
Unknown
Last updated
2026-08-03

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

Conditions

Benign pigmented skin lesions

Interventions

Observation group:None

Sponsors

Affiliated Hospital of Jiangnan University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Patients who underwent surgical excision at the Affiliated Hospital of Jiangnan University and were pathologically confirmed as junctional nevus, compound nevus, intradermal nevus, or seborrheic keratosis by postoperative histopathology.

Exclusion criteria

Exclusion criteria: 1. Cases diagnosed as malignant melanoma or other malignant skin tumors by postoperative pathology. 2. Preoperative clinical photos show severe motion blur, overexposure/underexposure, obvious shadow occlusion, incomplete display of lesion boundaries, or are postoperative/post-treatment follow-up photos. 3. Cases where the pathological diagnosis is controversial and cannot be clearly classified after review by a third-party pathologist. 4. Cases where clinical or imaging data are missing, making it impossible to achieve a one-to-one correspondence between preoperative photos and postoperative pathological results. 5. Cases with other serious skin diseases that may interfere with the interpretation of skin lesion characteristics.

Design outcomes

Primary

MeasureTime frame
Clinical images of skin masses taken by smartphones or ordinary cameras, including skin masses of different types, sizes, colors and locations;Pathological staining images of the surgically resected tumor and the corresponding pathological diagnosis results;Model accuracy;

Countries

China

Contacts

Public ContactJia Zhigang

Affiliated Hospital of Jiangnan University

jiazhigang.5@163.com+86 151 9021 8027

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Aug 10, 2026