An international challenge to use artificial intelligence to define the state of the art in kidney and kidney tumor segmentation in CT imaging
| Main Authors: | , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2020-07-01
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| Series: | European Urology Open Science |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666168320330767 |
| _version_ | 1818607196052652032 |
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| author | N. Heller S.T. Mc Sweeney M.T. Peterson S. Peterson J. Rickman B. Stai R. Tejpaul M. Oestreich P. Blake J. Rosenberg K. Moore W. Edward Z. Rengel Z. Edgerton R. Vasdev A. Kalapara N.J. Sathianathen N. Papanikolopoulos C.J. Weight |
| author_facet | N. Heller S.T. Mc Sweeney M.T. Peterson S. Peterson J. Rickman B. Stai R. Tejpaul M. Oestreich P. Blake J. Rosenberg K. Moore W. Edward Z. Rengel Z. Edgerton R. Vasdev A. Kalapara N.J. Sathianathen N. Papanikolopoulos C.J. Weight |
| author_sort | N. Heller |
| collection | DOAJ |
| first_indexed | 2024-12-16T14:22:54Z |
| format | Article |
| id | doaj.art-dd061769db86441ea924ad914011146b |
| institution | Directory Open Access Journal |
| issn | 2666-1683 |
| language | English |
| last_indexed | 2024-12-16T14:22:54Z |
| publishDate | 2020-07-01 |
| publisher | Elsevier |
| record_format | Article |
| series | European Urology Open Science |
| spelling | doaj.art-dd061769db86441ea924ad914011146b2022-12-21T22:28:27ZengElsevierEuropean Urology Open Science2666-16832020-07-0119e738An international challenge to use artificial intelligence to define the state of the art in kidney and kidney tumor segmentation in CT imagingN. HellerS.T. Mc SweeneyM.T. PetersonS. PetersonJ. RickmanB. StaiR. TejpaulM. OestreichP. BlakeJ. RosenbergK. MooreW. EdwardZ. RengelZ. EdgertonR. VasdevA. KalaparaN.J. SathianathenN. PapanikolopoulosC.J. Weighthttp://www.sciencedirect.com/science/article/pii/S2666168320330767 |
| spellingShingle | N. Heller S.T. Mc Sweeney M.T. Peterson S. Peterson J. Rickman B. Stai R. Tejpaul M. Oestreich P. Blake J. Rosenberg K. Moore W. Edward Z. Rengel Z. Edgerton R. Vasdev A. Kalapara N.J. Sathianathen N. Papanikolopoulos C.J. Weight An international challenge to use artificial intelligence to define the state of the art in kidney and kidney tumor segmentation in CT imaging European Urology Open Science |
| title | An international challenge to use artificial intelligence to define the state of the art in kidney and kidney tumor segmentation in CT imaging |
| title_full | An international challenge to use artificial intelligence to define the state of the art in kidney and kidney tumor segmentation in CT imaging |
| title_fullStr | An international challenge to use artificial intelligence to define the state of the art in kidney and kidney tumor segmentation in CT imaging |
| title_full_unstemmed | An international challenge to use artificial intelligence to define the state of the art in kidney and kidney tumor segmentation in CT imaging |
| title_short | An international challenge to use artificial intelligence to define the state of the art in kidney and kidney tumor segmentation in CT imaging |
| title_sort | international challenge to use artificial intelligence to define the state of the art in kidney and kidney tumor segmentation in ct imaging |
| url | http://www.sciencedirect.com/science/article/pii/S2666168320330767 |
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