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1、MedicalImageAnalysiswithArtificialNeuralNetworksJ.Jiang,P.TrundleandJ.RenDigitalMedia&SystemsResearchInstitute,UniversityofBradford,Bradford,BD71DP,UnitedKingdomEmail:(j.jiang1,p.r.trundle,j.ren)@bradford.ac.ukABSTRACT:Giventhatneuralnetworkshavebeenwidelyreportedintheresearchcommunityofmedic
2、alimaging,weprovideafocusedliteraturesurveyonrecentneuralnetworkdevelopmentsincomputer-aideddiagnosis,medicalimagesegmentationandedgedetectiontowardvisualcontentanalysis,andmedicalimageregistrationforitspre-processingandpostprocessing,withtheaimsofincreasingawarenessofhowneuralnetworkscanbeap
3、pliedtotheseareasandtoprovideafoundationforfurtherresearchandpracticaldevelopment.Representativetechniquesandalgorithmsareexplainedindetailtoprovideinspiringexamplesillustrating:(i)howaknownneuralnetworkwithfixedstructureandtrainingprocedurecouldbeappliedtoresolveamedicalimagingproblem;(ii)ho
4、wmedicalimagescouldbeanalysed,processed,andcharacterisedbyneuralnetworks;and(iii)howneuralnetworkscouldbeexpandedfurthertoresolveproblemsrelevanttomedicalimaging.Intheconcludingsection,ahighlightofcomparisonsamongmanyneuralnetworkapplicationsisincludedtoprovideaglobalviewoncomputationalintell
5、igencewithneuralnetworksinmedicalimaging.Indexingterms:neuralnetworks,medicalimaginganalysis,andintelligentcomputing.1.IntroductionInspiredbythewaybiologicalnervoussystemssuchashumanbrainsprocessinformation,anartificialneuralnetwork(ANN)isaninformationprocessingsystemwhichcontainsalargenumber
6、ofhighlyinterconnectedprocessingneurons.Theseneuronsworktogetherinadistributedmannertolearnfromtheinputinformation,tocoordinateinternalprocessing,andtooptimiseitsfinaloutput.Asnumerousalgorithmshavebeenreportedintheliteratureapplyingneuralnetworkstomedicalimageanalysis,weprovideafocusedsurvey
7、oncomputationalintelligencewithneuralnetworkscoveringmedicalimageregistration,segmentationandedgedetectionformedicalimagecontentanalysis,computer-aideddetectionanddiagnosiswithspecificcoverageonmammogramanalysistowardsbreastcancerscreening,an
