Zero-Shot Medical Image Retrieval for Emerging Infectious Diseases Based on Meta-Transfer Learning--Worldwide,2020
作者机构：School of Computer Science and EngineeringSun Yat-Sen UniversityGuangzhouGuangdongChina Center for Public Health Surveillance and Information ServiceChinese Center for Disease Control and PreventionBeijingChina State Key Laboratory for Diagnosis and Treatment of Infectious DiseasesCollaborative Innovation Center for Diagnosis and Treatment of Infectious DiseasesThe First Affiliated HospitalCollege of MedicineZhejiang UniversityHangzhouZhejiangChina School of Public HealthPeking UniversityBeijingChina
出 版 物：《China CDC weekly》 (中国疾病预防控制中心周报（英文）)
年 卷 期：2020年第2卷第52期
页 面：1004-1008页
核心收录：
学科分类：1004[医学-公共卫生与预防医学(可授医学、理学学位)] 100401[医学-流行病与卫生统计学] 10[医学]
基 金：supported by grants from the Key Joint Project for Data Center of the National Natural Science Foundation of China and Guangdong Provincial Government(U1611264) the Pearl River Nova Program of Guangzhou(201906010080)
摘 要：Introduction:Due to the increasing number of medical images,image retrieval has become an important technique for medical image *** many content-based image retrieval methods have been proposed,the retrieval of images in datasets related to emerging/new infectious diseases still remain a challenge-mostly due to the lack of historical *** a result,the current retrieval models have limited functionality in helping doctors make accurate diagnoses of new ***:In this paper,we propose a zero-shot retrieval model based on meta-learning and ensemble learning,which can obtain a model with stronger generalizability without using any relevant training data,and thus performs well on new types of test ***:The experimental results showed that the proposed method is 3% to 5% higher than the traditional method,which means that our model can retrieve relevant medical images more accurately for newly emerging data types and provide doctors with more effective ***:When a new infectious disease occurs,doctors can use the proposed zero-shot retrieval model to retrieve all relevant cases,quickly find the common problems of patients,find the locations of the new infections,and determine its infectivity as soon as *** proposed method is a new computeraided decision support technology for emerging infectious diseases.
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