Rapid artificial intelligence solutions in a pandemic-The COVID-19-20 Lung CT Lesion Segmentation Challenge.
Rapid artificial intelligence solutions in a pandemic-The COVID-19-20 Lung CT Lesion Segmentation Challenge.
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DOI：
10.1016/j.media.2022.102605
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发表时间：
2022-11
影响因子：
10.9
通讯作者：
Linguraru, Marius George
中科院分区：
文献类型：
--
作者：
Roth, Holger R.;Xu, Ziyue;Tor-Diez, Carlos;Jacob, Ramon Sanchez;Zember, Jonathan;Molto, Jose;Li, Wenqi;Xu, Sheng;Turkbey, Baris;Turkbey, Evrim;Yang, Dong;Harouni, Ahmed;Rieke, Nicola;Hu, Shishuai;Isensee, Fabian;Tang, Claire;Yu, Qinji;Soelter, Jan;Zheng, Tong;Liauchuk, Vitali;Zhou, Ziqi;Moltz, Jan Hendrik;Oliveira, Bruno;Xia, Yong;Maier-Hein, Klaus H.;Li, Qikai;Husch, Andreas;Zhang, Luyang;Kovalev, Vassili;Kang, Li;Hering, Alessa;Vilaca, Joao L.;Flores, Mona;Xu, Daguang;Wood, Bradford;Linguraru, Marius George
人工智能（AI）方法用于自动检测和量化胸部计算机断层扫描（CT）中的COVID-19病变，可能在疾病的监测和管理中发挥重要作用。我们组织了一场国际挑战赛，为这项任务开发和比较人工智能算法，我们用公共数据和最先进的基准方法来支持。委员会认证的放射科医师注释了来自两个来源（A和B）的295张公共图像，用于算法培训（，来源A）、验证（，来源A）和测试（，来源A;，来源B）。共有1 096个注册团队，其中225个和98个分别完成了验证和测试阶段。这项挑战表明，人工智能模型可以由不同的团队快速设计，具有测量疾病或促进及时和针对患者的干预措施的潜力。本文概述了2020年COVID-19肺部CT病变分割挑战赛的概况和主要成果。
Artificial intelligence (AI) methods for the automatic detection and quantification of COVID-19 lesions in chest computed tomography (CT) might play an important role in the monitoring and management of the disease. We organized an international challenge and competition for the development and comparison of AI algorithms for this task, which we supported with public data and state-of-the-art benchmark methods. Board Certified Radiologists annotated 295 public images from two sources (A and B) for algorithms training (, source A), validation (, source A) and testing (, source A; , source B). There were 1,096 registered teams of which 225 and 98 completed the validation and testing phases, respectively. The challenge showed that AI models could be rapidly designed by diverse teams with the potential to measure disease or facilitate timely and patient-specific interventions. This paper provides an overview and the major outcomes of the COVID-19 Lung CT Lesion Segmentation Challenge — 2020.
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DOI：
10.1148/ryct.2020200075
发表时间：
2020-04-01
期刊：
RADIOLOGY-CARDIOTHORACIC IMAGING
影响因子：
--
作者：
Huang, Lu;Han, Rui;Xia, Liming
通讯作者：
Xia, Liming
影响因子：
4.4
作者：
Clark, Kenneth;Vendt, Bruce;Prior, Fred
通讯作者：
Prior, Fred
影响因子：
82.9
作者：
Dayan, Ittai;Roth, Holger R.;Zhong, Aoxiao;Harouni, Ahmed;Gentili, Amilcare;Abidin, Anas Z.;Liu, Andrew;Costa, Anthony Beardsworth;Wood, Bradford J.;Tsai, Chien-Sung;Wang, Chih-Hung;Hsu, Chun-Nan;Lee, C. K.;Ruan, Peiying;Xu, Daguang;Wu, Dufan;Huang, Eddie;Kitamura, Felipe Campos;Lacey, Griffin;de Antonio Corradi, Gustavo Cesar;Nino, Gustavo;Shin, Hao-Hsin;Obinata, Hirofumi;Ren, Hui;Crane, Jason C.;Tetreault, Jesse;Guan, Jiahui;Garrett, John W.;Kaggie, Joshua D.;Park, Jung Gil;Dreyer, Keith;Juluru, Krishna;Kersten, Kristopher;Rockenbach, Marcio Aloisio Bezerra Cavalcanti;Linguraru, Marius George;Haider, Masoom A.;AbdelMaseeh, Meena;Rieke, Nicola;Damasceno, Pablo F.;Silva, Pedro Mario Cruz E.;Wang, Pochuan;Xu, Sheng;Kawano, Shuichi;Sriswasdi, Sira;Park, Soo Young;Grist, Thomas M.;Buch, Varun;Jantarabenjakul, Watsamon;Wang, Weichung;Tak, Won Young;Li, Xiang;Lin, Xihong;Kwon, Young Joon;Quraini, Abood;Feng, Andrew;Priest, Andrew N.;Turkbey, Baris;Glicksberg, Benjamin;Bizzo, Bernardo;Kim, Byung Seok;Tor-Diez, Carlos;Lee, Chia-Cheng;Hsu, Chia-Jung;Lin, Chin;Lai, Chiu-Ling;Hess, Christopher P.;Compas, Colin;Bhatia, Deepeksha;Oermann, Eric K.;Leibovitz, Evan;Sasaki, Hisashi;Mori, Hitoshi;Yang, Isaac;Sohn, Jae Ho;Murthy, Krishna Nand Keshava;Fu, Li-Chen;Furtado de Mendonca, Matheus Ribeiro;Fralick, Mike;Kang, Min Kyu;Adil, Mohammad;Gangai, Natalie;Vateekul, Peerapon;Elnajjar, Pierre;Hickman, Sarah;Majumdar, Sharmila;McLeod, Shelley L.;Reed, Sheridan;Graf, Stefan;Harmon, Stephanie;Kodama, Tatsuya;Puthanakit, Thanyawee;Mazzulli, Tony;de Lavor, Vitor Lima;Rakvongthai, Yothin;Lee, Yu Rim;Wen, Yuhong;Gilbert, Fiona J.;Flores, Mona G.;Li, Quanzheng
通讯作者：
Li, Quanzheng
影响因子：
5.9
作者：
Ippolito D;Ragusi M;Gandola D;Maino C;Pecorelli A;Terrani S;Peroni M;Giandola T;Porta M;Talei Franzesi C;Sironi S
通讯作者：
Sironi S
影响因子：
16.6
作者：
Maier-Hein, Lena;Eisenmann, Matthias;Kopp-Schneider, Annette
通讯作者：
Kopp-Schneider, Annette