Medical Image Tagger

Wed, 14 May 2014 11:21:55 +0000

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.

Annotation Tool on Infinite Script

Medical Image Tagger

Introduction