Page 58 - Handbook of Deep Learning in Biomedical Engineering Techniques and Applications
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Article  type  Journal  Conference  Conference  Journal  Conference


                           References  [53]  [109]  [110]           [111]     [112]




                                 machine  China,  York  by  volumes  collected  three  scans  and  Philips  The  scanned  coronary
                              radiographs  radiography  provided  MRI  were  Medical,  patients,  into  the  train  5  LV,  segmentation,  the  testing  at  exams  Best,  CTA  from  have  to



                              chest  Guangzhou,  study  set  cardiac  taken  scans  Philips  iCT,  60  of  divided  to  used  the  of  for  CT  Medical,  consecutively  annotated  acquired  suspected
                           set   digital  data  was   randomly  were  LV  scans  cardiac  Philips  250  used  were  or  disease
                           data  a  Hospital,  the  for  available  containing  angiography  Brilliance  Netherlands,  localization  train  to  5  iCT,  of  which  known  artery

                           on  posterioreanterior  with  Nanfang  used  patients  CT  Philips  The  were  scans  50  for  used  remaining  obtained  Netherlands,  were  comprehensively  sets,
                           Remark  646  acquired  at  were  publicly  A  University  33  for  Cardiac  at  Best,  which  sets:  CNNs  were  the  method  Clinically  Brilliance  patients  110  data  patients  coronary



                 imaging.dcontinued  Modality  CNN  Chest  CNN  radiography  MRI  angiography  CT  angiography  CT  (CTA)  CTA









                 medical   of  Type  Multiscale  CNN  Deep  AlexNet  CNN  Paired  (CovPairs)  CNN



                 to                       in     in                 coronary  CT  centerlines
                 application  bone  study  conventional  automatic  ventricle  left  automatic  ventricle  left  automatic  cardiac  in  automatic  vessel




                 CNN          to  single  in  for  the  of  Images  for  the  of  angiography  for  scoring  for  blood

                 of           designed  suppression  X-ray  designed  localization  MRI  designed  segmentation  CT  designed  calcium  angiography  designed  of
                 Literature  Applications  Model  chest  Model  Cardiac  System  cardiac  System  artery  System  extraction




                 2.2       Year  2017   2015   2016
                 Table  Body  part      Cardiac
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