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Study identifier: NCT06509230 Synced from ClinicalTrials.gov · July 29, 2026
● Recruiting

Prediction of Significant Liver Fibrosis

Condition: Liver Fibrosis  ·  Sponsor: Huang Haijun

PhaseN/A
Planned participants700
Who can joinAll sexes, 18 Years to 60 Years
Healthy volunteersYes

About this study

The deep learning method based on convolutional neural network (CNN) was used to extract the relevant features of liver fibrosis classification from the multi-modal information of digital pathological sections, clinical parameters and biomarkers of a large number of existing cases of liver puncture, and the U-Net architecture of CNN was used to segment and extract the features of clinical medical images.

This description comes directly from the study's public registry record.

Talk to the study team

Haijun Huang  ·  13758186635  ·  huanghaijun0826@163.com

Always discuss trial participation with your own doctor first.

Locations (1)

Haijun HuangHangzhou, Zhejiang, ChinaRecruiting

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Source record: clinicaltrials.gov/study/NCT06509230