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Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge

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第一作者: Yoganand Balagurunathan
作者单位: Department of Biomedical Engineering, Universidad de los Andes, Bogota, Colombia [1] Department of Electrical and Computer Engineering, Robotics and Control Laboratory (RCL), The University of British Columbia, Vancouver, BC, Canada [2] Human Medical Imaging and Intervention Center, Seoul, South Korea [3] Medical Imaging Laboratory, University of Louisville, Louisville, KY, USA [4] Department of Machine Learning, H Lee Moffitt Cancer Center (MCC) and Research Institute, Tampa, FL, USA [5] Center for Biomedical Informatics and Information Technology, National Cancer Institute (NCI), Bethesda, MD, USA [6] Department of Computer Science, University of South Florida (USF), Tampa, FL, USA [7] Biomedical Computer Vision Laboratory (BCV), Universidad de Los Andes, Bogota, Colombia [8] Springbok Inc., Charlottesville, VA, USA [9] Department of Radiology, Boston Children’s Hospital, Boston, MA, USA [10] Department of Computer Engineering and Computer Science, University of Louisville, Louisville, KY, USA [11] Predible Health Inc., Bengaluru, India [12] Division of Cancer Prevention, Bethesda, MD, USA [13] School of Medicine, Sungkyunkwan University, Seoul, South Korea [14] Physense, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain [15] Thoracic Imaging Section, David Geffen School of Medicine, University of California at Los Angeles (UCLA), Los Angeles, CA, USA [16] Department of Radiology, School of Medicine, Stanford University (SU), Stanford, CA, USA [17] Centre Suisse d’électronique et de Microtechnique, Neuchatel, Switzerland [18] Massachusetts General Hospital (MGH), Boston, MA, USA [19] Department of Radiology, Surgical Planning Laboratory (SPL), Brigham and Women’s Faulkner Hospital, Boston, MA, USA [20] Department of Radiology, University of Michigan (UMICH), Ann Arbor, MI, USA [21]
发布时间 2022-06-10
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