图 书 馆
医学成像分析、信息学和机器学习在全球健康中的应用3Medical Imaging Analytics, Informatics and Machine Learning in a Global Health Application |
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| 课程网址: | http://videolectures.net/kdd2017_antani_global_health_application... |
| 主讲教师: | Sameer K. Antani |
| 开课单位: | 视频讲座网 |
| 开课时间: | 2017-12-01 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Global health challenges arise from various shortages: lack of solutions in biomedicine, adverse social situations, lack of resources, and lack of expertise. While not all of these can be addressed by a data and informatics organization, such as the U.S. National Library of Medicine, it can address a critical need in this area – enabling access to high quality information to aid in diagnostics at the point of care. This can be achieved by extending its in-house research in biomedical image analytics, medical informatics, and machine learning, and adapting it to where it can be most useful. Diagnostics and screening applications utilize the same image analysis content understanding techniques used in multimodal information retrieval, except they need to be enhanced for use in a field-based system, made compatible with existing medical device communications and informatics standards, and made resilient for use in resource constrained regions. In this talk, I will describe the progress and challenges faced on a global health project for automated image analysis of chest x-ray images for use in screening for tuberculosis in a HIV prone rural region in sub-Saharan Africa. I will also describe challenges faced in extending the technology to other TB endemic regions and our ongoing efforts to improve its performance. The project demonstrates how a multidisciplinary approach through synergistic efforts of computational imaging scientists, radiologists, and engineers can be channeled to address a long standing global health challenge. |
| 关 键 词: | 全球卫生; 生物医学; 资源限制 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2022-11-25：chenxin01 |
| 最后编审: | 2022-11-25：chenxin01 |
| 阅读次数: | 50 |