Condition: Liver Fibrosis · Sponsor: Huang Haijun
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.
Haijun Huang · 13758186635 · huanghaijun0826@163.com
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| Haijun Huang | Hangzhou, Zhejiang, China | Recruiting |
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Source record: clinicaltrials.gov/study/NCT06509230