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- Q97559029 description "article scientifique publié en 2020" @default.
- Q97559029 description "artículu científicu espublizáu en xunetu de 2020" @default.
- Q97559029 description "scientific article published on 14 July 2020" @default.
- Q97559029 description "wetenschappelijk artikel" @default.
- Q97559029 description "наукова стаття, опублікована 14 липня 2020" @default.
- Q97559029 name "Decidual Vasculopathy Identification in Whole Slide Images Using Multi-Resolution Hierarchical Convolutional Neural Networks" @default.
- Q97559029 name "Decidual Vasculopathy Identification in Whole Slide Images Using Multi-Resolution Hierarchical Convolutional Neural Networks" @default.
- Q97559029 type Item @default.
- Q97559029 label "Decidual Vasculopathy Identification in Whole Slide Images Using Multi-Resolution Hierarchical Convolutional Neural Networks" @default.
- Q97559029 label "Decidual Vasculopathy Identification in Whole Slide Images Using Multi-Resolution Hierarchical Convolutional Neural Networks" @default.
- Q97559029 prefLabel "Decidual Vasculopathy Identification in Whole Slide Images Using Multi-Resolution Hierarchical Convolutional Neural Networks" @default.
- Q97559029 prefLabel "Decidual Vasculopathy Identification in Whole Slide Images Using Multi-Resolution Hierarchical Convolutional Neural Networks" @default.
- Q97559029 P1433 Q97559029-A6CC4D59-1A82-45B6-863B-D929E87B8003 @default.
- Q97559029 P1476 Q97559029-48CA02CF-BF64-44D8-B49D-98978D31ABCD @default.
- Q97559029 P2093 Q97559029-47665272-C99C-4FC8-9B6D-66AC31098555 @default.
- Q97559029 P2093 Q97559029-5059510F-741D-42FB-BBF9-25F74C3D4D59 @default.
- Q97559029 P2093 Q97559029-88124552-20CB-478E-9855-F7CBDBB82D70 @default.
- Q97559029 P2093 Q97559029-94E665EE-AE63-49BB-895C-234AE1F79C42 @default.
- Q97559029 P2093 Q97559029-E886E95C-6C6E-402E-A398-D37F0A4D00FE @default.
- Q97559029 P2093 Q97559029-FF02DBC4-99DA-4F28-AA8E-2458E5FFC0D0 @default.
- Q97559029 P31 Q97559029-C6088F26-A78F-4C9D-BB21-E1EAC5035B98 @default.
- Q97559029 P356 Q97559029-E93EAC69-7CE3-4957-A48B-8CF7A153BC14 @default.
- Q97559029 P50 Q97559029-6F038E13-7300-436F-AAD2-760B1F29C443 @default.
- Q97559029 P577 Q97559029-9CDD79E8-0546-477F-A42C-15FEDC1E12FE @default.
- Q97559029 P698 Q97559029-6AC025C7-702E-4F50-8FAB-7BA4DB7E516C @default.
- Q97559029 P921 Q97559029-DF97AC5A-3596-45CD-BC18-A3F2B3C6D101 @default.
- Q97559029 P356 J.AJPATH.2020.06.014 @default.
- Q97559029 P698 32679230 @default.
- Q97559029 P1433 Q4744259 @default.
- Q97559029 P1476 "Decidual Vasculopathy Identification in Whole Slide Images Using Multi-Resolution Hierarchical Convolutional Neural Networks" @default.
- Q97559029 P2093 "Daniel Clymer" @default.
- Q97559029 P2093 "Jonathan Cagan" @default.
- Q97559029 P2093 "Lauren Skvarca" @default.
- Q97559029 P2093 "Liron Pantanowitz" @default.
- Q97559029 P2093 "Philip LeDuc" @default.
- Q97559029 P2093 "Stefan Kostadinov" @default.
- Q97559029 P31 Q13442814 @default.
- Q97559029 P356 "10.1016/J.AJPATH.2020.06.014" @default.
- Q97559029 P50 Q89573069 @default.
- Q97559029 P577 "2020-07-14T00:00:00Z" @default.
- Q97559029 P698 "32679230" @default.
- Q97559029 P921 Q17084460 @default.