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Lungcancerisadiseasemorbidityandmortalityarehigh,canbedividedintosmallcelllungcancerandnon-smallcelllungcancer.Duetosmallcelllungcancerandtheclinicaltreatmentandprognosisofnon-smallcelllungcancerarecompletelydifferent,assistclinicianstoidentifyclassificationdiagnosishasimportantsignificance.

ThispaperimagesegmentationmethodisutilizedtoextractthelungcancerlungparenchymaofCTimage,andcreateitsgraylevelco-occurrencematrixandgraylevelco-occurrencematrixisutilizedtoextractimagetexturefeatureoflungparenchyma.ThentexturefeaturedatasetforSPSSpcadimensionreduction,generatenewdatasamples,theuseofBPneuralnetwork,RBFneuralnetworkandsupportvectormachinelearningalgorithmfortrainingtest.TheclassificationresultsshowthatthedegreeofsensitivityandthecharacteristicsofBPneuralnetworkclassificationresultscanreachabove0.8andthecoincidencerateisrelativelyhigh.Supportvectormachine(SVM)classifierclassificationresultsfollowed,RBFusedintheclassificationoftheworst.

Keywords:lungcancer;Graylevelco-occurrencematrix;Texturefeature;Neuralnetwork;Supportvectormachine(SVM)

Thepulsesignalisthelifeofthehumanbasicsymbol,oneofthepulsesignaldetectioninclinical,teachingandscientificresearchplaysaveryimportantrole.Currentpulsesignalmonitoringisusingspecialmedicalinstrument,theinstrumentisfixed,singlefunction,hugevolume,highprice,analysisofsuchproblemsasimperfect.Inthispaper,apulsesignalacquisitionandanalysissystemwasdesignedanddeveloped.Thesystemmainlyconsistsoftwopartsofhardwareandsoftware.HardwarepartusingHK-2000seriesintegratedpulsesensorcompletethepulsesignalacquisitionandregulate.SoftwarepartdothelogininterfacewithLabVIEWandmainforminterface,signalacquisitioninterfacebyVBprogramming,VBprogramtorealizethecallingthroughtheLabVIEWreal-timedisplayandstorageofpulsewaveform.Thissystemfriendlyinterface,simpleoperation,enhancethefunctionofautomaticanalysisoftraditionalmedicalinstruments,hasacertainapplicationvalue.

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