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Journal  Journal     Journal  Journal  Journal  Conference  Conference  Journal  Continued






                  [68]   [69]          [70]    [71]   [72]   [73]        [74]        [75]

                  set      for         MICCAI  subjects  set  subjects  for  set  testing  the  was
                  data   namely,  used           and  volumes  data  which  used  for  the  Sclerosis  with  glioma  annotated  set
                  the  Sclerosis  were  the    500      US  the  34  for  DMC  378  of  validation,  used  namely  (MS)  and  data
                  using  2015  sets,  data  2015  using  data  than  more  validating,  MRI  and  RUN  set  for  were  multiple  (MSGC),  fully  2013

                  evaluated  Multiple  Challenge,  available  ISBI  and  system  the  validated  challenge  with  training,  model  comprises  subjects,  transcranially  from  cases,  466  used  42  annotations  used  Sclerosis  Challenge  purpose,  challenge


                  was  Longitudinal  2008  of  was  database  for  the  set  data  55  to  acquired  taken  was  of  of  set  two  with  sets  data  relapsingeremitting  multiple  BTSBraTS  evaluation  BraTS
                  model  Segmentation  publicly  MICCAI  evaluation  method  MRBrainS  large  used  was  evaluating  MRI  related  was  set  consisted  training,  46  purpose  (RRMS),  Grand  the  with  the  MICCAI  used

                  The  of  Two         The     A      The    Data   of   Different  MS  For


                                                      US
                                                      and
                  MRI    MRI           MRI     MRI    MRI    MRI         MRI         MRI

                         of  and       Residual
                  Longitudinal  multiview  CNN  Combination  U-Net  Convolutional  Encoder  Network  (CEN)  Deep  Networks  (VoxResNet)  CNN  Hough  CNN  Deep  HeMIS




                    multiple  sclerosis  of           regions            of          of
                  automated            segmentation  matter  brain  segmentation  segmentation  segmentation


                  fully  longitudinal  multiple  white  for  segmentation  deep  the  hyperintensity  image  for
                  for  of  for  segmentation  for  brain  for  for  matter  for
                  designed  segmentation  lesion  designed  designed  volumetric  developed  hyperintensities  designed  segmentation  designed  white  designed  heteromodal  developed  Tumor


                  Model  sclerosis  Model  lesions  System  System  System  System  of  System  the  System  Brain
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