基于影像云的多模态医学影像标注系统的开发

Development of multi-modal medical image annotation system based on image cloud

在人工智能医学影像领域,影像标注是所有人工智能研发的关键因素。传统的人工标注过程中,数据获取困难、手工劳动强度大、专业性强、标注质量低等问题突出,亟需智能化的多模态医学影像标注系统,去满足标注工作的开展。因此,四川大学华西医院基于影像云平台收集了院内和联盟医院的多模态影像数据,通过信息化技术设计了多模态医学影像标注系统,集成各种图像处理算法以及人工智能模型来简化影像数据标注工作。标注系统的建设提高了院内数据标注效率,为院内人工智能影像研究和相关产业建设提供必要的数据支持,从而推动院内医学影像相关的人工智能产业落地。

In the field of artificial intelligence(AI)medical imaging,data annotation is a key factor in all AI development.In the traditional manual annotation process,there are prominent problems such as difficult data acquisition,high manual labor intensity,strong professionalism and low labeling quality.Therefore,an intelligent multimodal medical image annotation system is urgently needed to meet the requirements of labeling.Based on the image cloud,West China Hospital of Sichuan University collected the multimodal image data of hospital and allied hospitals,and designed a multi-modal image annotation system through information technology,which integrated various image processing algorithms and AI models to simplify the image data annotation.With the construction of annotation system,the efficiency of data labeling in the hospitals is improved,which provides necessary data support for the AI image research and related industry construction in the hospital,so as to promote the implementation of artificial intelligence industry related to medical images in the hospital.