Matches in Wikidata for { <http://www.wikidata.org/entity/Q91171414> ?p ?o ?g. }
Showing items 1 to 67 of
67
with 100 items per page.
- Q91171414 description "artículu científicu espublizáu en payares de 2019" @default.
- Q91171414 description "scientific article published on 04 November 2019" @default.
- Q91171414 description "wetenschappelijk artikel" @default.
- Q91171414 description "наукова стаття, опублікована 4 листопада 2019" @default.
- Q91171414 name "Deep Learning-Based Segmentation of Nodules in Thyroid Ultrasound: Improving Performance by Utilizing Markers Present in the Images" @default.
- Q91171414 name "Deep Learning-Based Segmentation of Nodules in Thyroid Ultrasound: Improving Performance by Utilizing Markers Present in the Images" @default.
- Q91171414 type Item @default.
- Q91171414 label "Deep Learning-Based Segmentation of Nodules in Thyroid Ultrasound: Improving Performance by Utilizing Markers Present in the Images" @default.
- Q91171414 label "Deep Learning-Based Segmentation of Nodules in Thyroid Ultrasound: Improving Performance by Utilizing Markers Present in the Images" @default.
- Q91171414 prefLabel "Deep Learning-Based Segmentation of Nodules in Thyroid Ultrasound: Improving Performance by Utilizing Markers Present in the Images" @default.
- Q91171414 prefLabel "Deep Learning-Based Segmentation of Nodules in Thyroid Ultrasound: Improving Performance by Utilizing Markers Present in the Images" @default.
- Q91171414 P1104 Q91171414-51E0FB31-8BAF-4724-9DCA-CB150DBDA18C @default.
- Q91171414 P1433 Q91171414-5F3D937A-0694-4267-B4A5-A80F24127B8C @default.
- Q91171414 P1476 Q91171414-561BB688-6CA5-43E0-8613-42A188B20CDF @default.
- Q91171414 P2093 Q91171414-72E709F9-16F2-4579-BF7F-B48393D9716F @default.
- Q91171414 P2093 Q91171414-B3D746D8-7986-4B8B-98FD-6C6B0C72DA5B @default.
- Q91171414 P2093 Q91171414-B4DE0AAA-2987-4095-B804-CEC66E9CDEAC @default.
- Q91171414 P2093 Q91171414-CC5F8BA4-9BB5-4DFB-A918-9253FA78CC75 @default.
- Q91171414 P2093 Q91171414-E1954BF9-DC36-49CB-BFC8-7FD01DBF4604 @default.
- Q91171414 P2860 Q91171414-09166D98-E38C-4D4E-AE8C-47003A2F10AD @default.
- Q91171414 P2860 Q91171414-1EFA541D-FBC7-4053-BED2-CA8148228702 @default.
- Q91171414 P2860 Q91171414-2297F8B0-12DE-41B2-9B7E-4B4214858733 @default.
- Q91171414 P2860 Q91171414-2303FE03-5FF4-4578-9060-8B291D11ECD3 @default.
- Q91171414 P2860 Q91171414-34AE0C88-A2FE-49CD-8994-67D91A2016E3 @default.
- Q91171414 P2860 Q91171414-4C413A03-D18C-493E-909E-1492656D57D7 @default.
- Q91171414 P2860 Q91171414-6B229204-A2F6-4857-8BFC-6A20536F396D @default.
- Q91171414 P2860 Q91171414-7FDFA2D8-A35D-4755-9DCE-845EF30684BD @default.
- Q91171414 P2860 Q91171414-B6589A5D-AF2A-43CF-8340-B1B660449B86 @default.
- Q91171414 P2860 Q91171414-B9D2B902-82A9-490A-BFB5-CA347FC9D2B5 @default.
- Q91171414 P2860 Q91171414-EACBAB40-44B2-4E0C-8F3B-28916C2CB678 @default.
- Q91171414 P304 Q91171414-3181F3F5-5A39-4E94-A300-FE3DDB0ADA2A @default.
- Q91171414 P31 Q91171414-2FD94739-0838-42EE-AD54-1379457A0DAF @default.
- Q91171414 P356 Q91171414-235CDA5F-B6E9-4053-999B-69B2F1DFBD3D @default.
- Q91171414 P433 Q91171414-8511BB59-9F35-4610-9FC5-AA8016B97A22 @default.
- Q91171414 P478 Q91171414-68270630-C067-4128-AD6E-36C9B115A9FA @default.
- Q91171414 P577 Q91171414-8F35135A-98DD-4D8E-A9FC-A2F78F14EFC5 @default.
- Q91171414 P698 Q91171414-35E7AC65-3005-4C52-B924-21B70A133F3C @default.
- Q91171414 P921 Q91171414-40B9994C-3636-44FF-9EC2-E3E85706560B @default.
- Q91171414 P356 J.ULTRASMEDBIO.2019.10.003 @default.
- Q91171414 P698 31699547 @default.
- Q91171414 P1104 "+7" @default.
- Q91171414 P1433 Q2260380 @default.
- Q91171414 P1476 "Deep Learning-Based Segmentation of Nodules in Thyroid Ultrasound: Improving Performance by Utilizing Markers Present in the Images" @default.
- Q91171414 P2093 "Benjamin Wildman-Tobriner" @default.
- Q91171414 P2093 "Jenny K Hoang" @default.
- Q91171414 P2093 "Kerry Castor" @default.
- Q91171414 P2093 "Maciej A Mazurowski" @default.
- Q91171414 P2093 "Mateusz Buda" @default.
- Q91171414 P2860 Q36333256 @default.
- Q91171414 P2860 Q38279662 @default.
- Q91171414 P2860 Q38754773 @default.
- Q91171414 P2860 Q41190648 @default.
- Q91171414 P2860 Q50568437 @default.
- Q91171414 P2860 Q51852953 @default.
- Q91171414 P2860 Q51904700 @default.
- Q91171414 P2860 Q56099055 @default.
- Q91171414 P2860 Q91062245 @default.
- Q91171414 P2860 Q91254567 @default.
- Q91171414 P2860 Q91739312 @default.
- Q91171414 P304 "415-421" @default.
- Q91171414 P31 Q13442814 @default.
- Q91171414 P356 "10.1016/J.ULTRASMEDBIO.2019.10.003" @default.
- Q91171414 P433 "2" @default.
- Q91171414 P478 "46" @default.
- Q91171414 P577 "2019-11-04T00:00:00Z" @default.
- Q91171414 P698 "31699547" @default.
- Q91171414 P921 Q197536 @default.