Evaluation of segmentation methods on head and neck CT: Auto-segmentation challenge 2015-Reference-Cited by-同舟云学术

Evaluation of segmentation methods on head and neck CT: Auto-segmentation challenge 2015

Published:2017-04-21 Issue:5 Volume:44 Page:2020-2036
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Raudaschl Patrik F.¹,Zaffino Paolo²,Sharp Gregory C.³,Spadea Maria Francesca²,Chen Antong⁴,Dawant Benoit M.⁵,Albrecht Thomas⁶,Gass Tobias⁶,Langguth Christoph⁷,Lüthi Marcel⁷,Jung Florian⁸,Knapp Oliver⁸,Wesarg Stefan⁸,Mannion-Haworth Richard⁹,Bowes Mike⁹,Ashman Annaliese⁹,Guillard Gwenael⁹,Brett Alan⁹,Vincent Graham⁹,Orbes-Arteaga Mauricio¹⁰,Cárdenas-Peña David¹⁰,Castellanos-Dominguez German¹⁰,Aghdasi Nava¹¹,Li Yangming¹¹,Berens Angelique¹¹,Moe Kris¹¹,Hannaford Blake¹¹,Schubert Rainer¹,Fritscher Karl D.¹

Affiliation:

1. Department of Biomedical Computer Science and Mechatronics; Institute for Biomedical Image Analysis; UMIT; Hall Tyrol 6060 Austria

2. Department of Experimental and Clinical Medicine; Magna Graecia University of Catanzaro; Catanzaro 88100 Italy

3. Department of Radiation Oncology; Massachusetts General Hospital; Harvard Medical School; Boston MA 02114 USA

4. Merck and Co., Inc.; West Point PA 19422 USA

5. Department of Electrical Engineering and Computer Science; Vanderbilt University; Nashville TN 37235 USA

6. Varian Medical Systems; Baden 5404 Switzerland

7. University of Basel; Basel 4001 Switzerland

8. Fraunhofer; 64283 Darmstadt Germany

9. Imorphics Ltd.; Kilburn House Manchester Science Park Manchester M15 6SE UK

10. Signal Processing and Recognition Group; Universidad Nacional de Colombia; Colombia

11. University of Washington; Seattle WA 98105 USA

Publisher

Wiley

Subject

General Medicine

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