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Altruistic seagull optimization algorithm enables selection of radiomic features for predicting benign and malignant pulmonary nodules.

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第一作者： Zhilei,Zhao

第一单位： National Key Lab of Autonomous Intelligent Unmanned Systems, School of Automation, Beijing Institute of Technology, Beijing, 100081, China. Electronic address: 3120215458@bit.edu.cn.

作者： Zhilei,Zhao ^[1] ; Shuli,Guo ^[2] ; Lina,Han ^[3] ; Lei,Wu ^[4] ; Yating,Zhang ^[5] ; Biyu,Yan ^[6]

作者单位： National Key Lab of Autonomous Intelligent Unmanned Systems, School of Automation, Beijing Institute of Technology, Beijing, 100081, China. Electronic address: 3120215458@bit.edu.cn. ^[1] National Key Lab of Autonomous Intelligent Unmanned Systems, School of Automation, Beijing Institute of Technology, Beijing, 100081, China. Electronic address: guoshuli@bit.edu.cn. ^[2] Department of Cardiology, The Second Medical Center, Chinese PLA General Hospital, Beijing, 100853, China. Electronic address: 2438381279@qq.com. ^[3] National Key Lab of Autonomous Intelligent Unmanned Systems, School of Automation, Beijing Institute of Technology, Beijing, 100081, China. Electronic address: wuleijia369@163.com. ^[4] National Key Lab of Autonomous Intelligent Unmanned Systems, School of Automation, Beijing Institute of Technology, Beijing, 100081, China. Electronic address: 3120220904@bit.edu.cn. ^[5] National Key Lab of Autonomous Intelligent Unmanned Systems, School of Automation, Beijing Institute of Technology, Beijing, 100081, China. Electronic address: biyuyan61@163.com. ^[6]

关键词 Altruism Feature selection Lung cancer Pulmonary nodule Radiomics Seagull optimization algorithm