Brain Tumor Diagnosis Using Sparrow Search Algorithm Based Deep Learning Model  

作　　者：G.Ignisha Rajathi R.Ramesh Kumar D.Ravikumar T.Joel Seifedine Kadry Chang-Won Jeong Yunyoung Nam 

机构地区：[1]Department of Computer Science and Business Systems,Sri Krishna College of Engineering and Technology,Coimbatore,641008,India [2]Department of Information Technology,Sri Krishna College of Technology,Coimbatore,641008,India [3]Department of Electronics and Communication Engineering,Kings Engineering College,Chennai,602117,India [4]Department of Electronics and Communication Engineering,R.M.K.Engineering College,Chennai,601206,India [5]Deparmtent of Applied Data Science,Noroff University College,Kristiansand,Norway [6]Medical Convergence Research Center,Wonkwang University,Iksan,Korea [7]Department of Computer Science and Engineering,Soonchunhyang University,Asan,Korea

出　　处：《Computer Systems Science & Engineering》2023年第2期1793-1806,共14页计算机系统科学与工程（英文）

基　　金：supported by the grants of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute(KHIDI);funded by the Ministry of Health&Welfare(HI18C1216);the grant of the National Research Foundation of Korea(NRF-2020R1I1A1A01074256);the Soonchunhyang University Research Fund.

摘　　要：Recently,Internet of Medical Things(IoMT)has gained considerable attention to provide improved healthcare services to patients.Since earlier diag-nosis of brain tumor(BT)using medical imaging becomes an essential task,auto-mated IoMT and cloud enabled BT diagnosis model can be devised using recent deep learning models.With this motivation,this paper introduces a novel IoMT and cloud enabled BT diagnosis model,named IoMTC-HDBT.The IoMTC-HDBT model comprises the data acquisition process by the use of IoMT devices which captures the magnetic resonance imaging(MRI)brain images and transmit them to the cloud server.Besides,adaptive windowfiltering(AWF)based image preprocessing is used to remove noise.In addition,the cloud server executes the disease diagnosis model which includes the sparrow search algorithm(SSA)with GoogleNet(SSA-GN)model.The IoMTC-HDBT model applies functional link neural network(FLNN),which has the ability to detect and classify the MRI brain images as normal or abnormal.Itfinds useful to generate the reports instantly for patients located in remote areas.The validation of the IoMTC-HDBT model takes place against BRATS2015 Challenge dataset and the experimental analysis is car-ried out interms of sensitivity,accuracy,and specificity.The experimentation out-come pointed out the betterment of the proposed model with the accuracy of 0.984.

关 键 词：Internet of medical things healthcare brain tumor disease classification deep learning metaheuristics 

分 类 号：R739.41[医药卫生—肿瘤]