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Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH): Phase I: Segmentation.

Philipp BergSamuel VoßSylvia SaalfeldGábor JanigaAslak W BergersenKristian Valen-SendstadJan BrueningLeonid GoubergritsAndreas SpulerNicole M CancelliereDavid A SteinmanVitor M PereiraTin Lok ChiuAnderson Chun On TsangBong Jae ChungJuan R CebralSalvatore CitoJordi PallarèsGabriele CopelliBenjamin CsippaGyörgy PaálSoichiro FujimuraHiroyuki TakaoSimona HodisGeorg HilleChristof KarmonikSaba EliasKerstin KellermannMuhammad Owais KhanAlison L MarsdenHernán G MoralesSenol PiskinEnder A FinolMariya PravdivtsevaHamidreza Rajabzadeh-OghazNikhil PaliwalHui MengSanthosh SeshadhriMatthew HowardMasaaki ShojimaShin-Ichiro SugiyamaKuniyasu NiizumaSergey SindeevSergey FrolovThomas WagnerAlexander BrawanskiYi QianYu-An WuKent D CarlsonDan Dragomir-DaescuOliver Beuing
Published in: Cardiovascular engineering and technology (2018)
MATCH provides an overview of segmentation methodologies for IAs and highlights the variability of surface reconstruction. Further, the study emphasizes the need for careful processing of initial segmentation results for a realistic assessment of clinically relevant morphological parameters.
Keyphrases
  • deep learning
  • convolutional neural network
  • machine learning