Condition: Ultrasound Image Interpretation · Sponsor: National Taiwan University Hospital
This proposal is for an one-year project. In this project, we aim to investigate the feasibility of using AI for sonographic image interpretation. The main project is responsible for coordination between the two sub-projects and the main project, providing image resources, and using U-Net (Convolutional Networks for Biomedical Image Segmentation) and Transfer Learning to build up the models for image recognition and validating the efficacy of the models. The purpose of Subproject 1 is to develop an image recognition system for dynamic images: pericardial effusion. After building up the model, validating the efficacy and future revision will be done. Subproject 2 comes out an image recognition system for static images: hydronephrosis. After building up the model, validating the efficacy and future revision will be done.
This description comes directly from the study's public registry record.
Wan-Ching Lien, Ph D · +886-2-23123456 · wanchinglien@ntu.edu.tw
Wan-Ching Lien · 0988088719 · dtemer17@yahoo.com.tw
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| Wan-Ching Lien | Taipei, None Selected, Taiwan | Recruiting |
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Source record: clinicaltrials.gov/study/NCT04876157