Study design of deep learning based automatic detection of cerebrovascular diseases on medical imaging: a position paper from Chinese Association of Radiologists  

作　　者：Longjiang Zhang Zhao Shi Min Chen Yingmin Chen Jingliang Cheng Li Fan Nan Hong Wenxiao Jia Guihua Jiang Shenghong Ju Xiaogang Li Xiuli Li Changhong Liang Weihua Liao Shiyuan Liu Zaiming Lu Lin Ma Ke Ren Pengfei Rong Bin Song Gang Sun Rongpin Wang Zhibo Wen Haibo Xu Kai Xu Fuhua Yan Yizhou Yu Yunfei Zha Fandong Zhang Minwen Zheng Zhen Zhou Wenzhen Zhu Guangming Lu Zhengyu Jin on behalf of Chinese Association of Radiologists 

机构地区：[1]Department of Radiology,Affiliated Jinling Hospital,Medical School of Nanjing University,Nanjing,Jiangsu 210002,China [2]Department of Radiology,Beijing Hospital,National Center of Gerontology,Beijing 100005,China [3]Department of Radiology,Hebei General Hospital,Shijiazhuang,Hebei 050199,China [4]Department of Magnetic Resonance Imaging,The First Affiliated Hospital of Zhengzhou University,Zhengzhou,Henan 450052,China [5]Department of Medical Imaging and Nuclear Medicine,Changzheng Hospital of Naval Medical University,Shanghai 200072,China [6]Department of Radiology,Peking University People’s Hospital,Beijing 100044,China [7]Imaging Center,First Affiliated,Hospital of Xinjiang Medical University,Urumqi,Xinjiang Uygur Autonomous Region 830054,China [8]Department of Medical Imaging,Guangdong Second Provincial General Hospital,Guangzhou,Guangdong 510050,China [9]Department of Radiology,Zhongda Hospital,School of Medicine,Southeast University,Nanjing,Jiangsu 211189,China [10]Department of Radiology,General Hospital of Northern Theater Command,Shenyang,Liaoning 110011,China [11]DeepWise AI lab.Beijing 100089,China [12]Department of Radiology,Guangdong Provincial People’s Hospital,Guangdong Academy of Medical Sciences,Guangzhou,Guangdong 519041,China [13]Department of Radiology,Xiangya Hospital,Central South University,Changsha,Hunan 410008,China [14]Department of Radiology,Shengjing Hospital of China Medical University,Shenyang,Liaoning 110001,China [15]Department of Radiology,Chinese PLA(People’s Liberation Army)General Hospital,Beijing 100853,China [16]Department of Radiology,Xiang’an Hospital of Xiamen University,School of Medicine,Xiamen University,Xiamen,Fujian 361005,China [17]Department of Radiology,Third Xiangya Hospital,Central South University,Changsha,Hunan 410013,China [18]Department of Radiology,Functional and Molecular Imaging Key Laboratory of Sichuan Province,West China Hospital,Sichuan University,Chengdu,Sichuan 610044,China [19]Department of Nuclear Medicine,960 Hospital of PLA,Ji’nan,S

出　　处：《Intelligent Medicine》2022年第4期221-229,共9页智慧医学（英文）

基　　金：Project supported by the Key Program of the National Natural Sci-ence Foundation of China(Grant Nos.81830057 and 82230068);the Young Scientists Fund of the National Natural Science Foundation of China(Grant No.82102155).

摘　　要：In recent years,with the development of artificial intelligence,especially deep learning technology,researches on automatic detection of cerebrovascular diseases on medical images have made tremendous progress and these models are gradually entering into clinical practice.However,because of the complexity and flexibility of the deep learning algorithms,these researches have great variability on model building,validation process,performance description and results interpretation.The lack of a reliable,consistent,standardized design protocol has,to a certain extent,affected the progress of clinical translation and technology development of computer aided detection systems.After reviewing a large number of literatures and extensive discussion with domestic experts,this position paper put forward recommendations of standardized design on the key steps of deep learning-based automatic image detection models for cerebrovascular diseases.With further research and application expansion,this position paper would continue to be updated and gradually extended to evaluate the generalizability and clinical application efficacy of such tools.

关 键 词：Cerebrovascular diseases Deep learning Study design Medical imaging 

分 类 号：R743[医药卫生—神经病学与精神病学]