Multi-Stage Multi-Recursive-Input Fully Convolutional Networks for Neuronal Boundary Detection

Multi-Stage Multi-Recursive-Input Fully Convolutional Networks for Neuronal Boundary Detection

ID：40721769

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時(shí)間：2019-08-06

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1、Multi-stageMulti-recursive-inputFullyConvolutionalNetworksforNeuronalBoundaryDetectionWeiShen1,2,BinWang1,YuanJiang1?,YanWang2,AlanYuille21KeyLaboratoryofSpecialtyFiberOpticsandOpticalAccessNetworks,ShanghaiUniversity2DepartmentofComputerScience,JohnsHopkinsUniversitywei.shen@t.shu.edu

2、.cn,{wangbin418,jy9387}@outlook.com,{wyanny.9,alan.l.yuille}@gmail.comAbstractInthe?eldofconnectomics,neuroscientistsseektoi-dentifycorticalconnectivitycomprehensively.NeuronalboundarydetectionfromtheElectronMicroscopy(EM)im-agesisoftendonetoassisttheautomaticreconstructionofneuronalci

3、rcuit.ButthesegmentationofEMimagesisachallengingproblem,asitrequiresthedetectortobeable(a)(b)(c)todetectboth?lament-likethinandblob-likethickmem-Figure1.Neuronalstructuresegmentation:anEMimage(a)andthegroundtruthsforitsneuronalboundarydetectionresult(b)andbrane,whilesuppressingtheambig

4、uousintracellularstruc-segmentationresult(c),respectively.ture.Inthispaper,weproposemulti-stagemulti-recursive-inputfullyconvolutionalnetworkstoaddressthisproblem.Themultiplerecursiveinputsforonestage,i.e.,themulti-riousandevenimpractical[13],whichdrivesthedemandplesideoutputswithdiffe

5、rentreceptive?eldsizeslearnedforef?cientautomatedneuronalcircuitreconstructionap-fromthelowerstage,providemulti-scalecontextualbound-proaches.aryinformationfortheconsecutivelearning.Thisdesignisbiologically-plausible,asitlikesahumanvisualsystemSerialsectionEMproducesastackof2Dimagesbyc

6、ut-tocomparedifferentpossiblesegmentationsolutionstoad-tingsectionsofbraintissue.Duetotheanisotropicresolu-dresstheambiguousboundaryissue.Ourmulti-stagenet-tionsofin-planeandout-of-plane,mostneuronalcircuitre-worksaretrainedend-to-end.Itachievespromisingre-constructionapproachesfollowt

7、hefollowingpipeline:(1)sultsontwopublicavailableEMsegmentationdatasets,neuronalboundarydetectiononeach2Dimage,(2)neu-themousepiriformcortexdatasetandtheISBI2012EMronalstructuresegmentationbasedonthe2Dboundarydataset.map,and(3)linkingtheneuronalsegmentsacross2Dim-agesintoa3Dreconstruc

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