Infinite Script

Medical Image Tagger

Gitee Recommended Open Source 科蓝杯 Silver Award Introduction Medical Image Tagger (MITagger) is a collaborative web-based annotation platform developed with Harvard Medical School to accelerate semi-automatic tagging of biomedical figures. By combining NLP-extracted figure legends with the BioPortal Annotator REST API, the system recommends structured tags from major medical ontologies, reducing the manual effort of medical annotators by 20%. The platform later evolved into a broader medical big data initiative, ShuYi Technology (数翼科技), which won the Silver Award at the “科蓝杯” 9th HFUT Student Entrepreneurship Competition in 2014.