A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging
Zhaohan Xiong, Qing Xia, Zhiqiang Hu, Ning Huang, Cheng Bian, Yefeng Zheng, Sulaiman Vesal, Nishant Ravikumar, Andreas Maier, Xin Yang, Pheng‐Ann Heng, Dong Ni, Caizi Li, Qianqian Tong, Weixin Si, Élodie Puybareau, Younes Khoudli, Thierry Géraud, Chen Chen, Wenjia Bai, Daniel Rueckert, Lingchao Xu, Xiahai Zhuang, Xinzhe Luo, Shuman Jia, Maxime Sermesant, Yashu Liu, Kuanquan Wang, Davide Borra, Alessandro Masci, Cristiana Corsi, Coen de Vente, Mitko Veta, Rashed Karim, Chandrakanth Jayachandran Preetha, Sandy Engelhardt, Menyun Qiao, Yuanyuan Wang, Qian Tao, Marta Nuñez‐Garcia, Óscar Cámara, Nicoló Savioli, Pablo Lamata, Jichao Zhao
Topics & Concepts
SegmentationConvolutional neural networkComputer scienceArtificial intelligenceBenchmark (surveying)Magnetic resonance imagingAtrial fibrillationDeep learningGadoliniumMedical imagingPattern recognition (psychology)Image segmentationSørensen–Dice coefficientMarket segmentationMachine learningAlgorithmMedicineRadiologyCardiologyGeographyGeodesyMetallurgyMarketingMaterials scienceBusinessCardiac Valve Diseases and TreatmentsCardiac Structural Anomalies and RepairAtrial Fibrillation Management and Outcomes