Using neutrosophic graph cut segmentation algorithm for qualified rendering image selection in thyroid elastography video
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Guo, Yanhui 
ORCID: https://orcid.org/0000-0003-1814-9682, Jiang, SQ, Sun, B, Siuly, Siuly ORCID: https://orcid.org/0000-0003-2491-0546, Sengur, A and Tian, JW
(2017)
Using neutrosophic graph cut segmentation algorithm for qualified rendering image selection in thyroid elastography video.
Health Information Science and Systems, 5 (1).
ISSN 2047-2501
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| Item type | Article |
| URI | https://vu-9.eprints-hosting.org/id/eprint/42767 |
| DOI | 10.1007/s13755-017-0032-y |
| Official URL | https://link.springer.com/article/10.1007%2Fs13755... |
| Subjects | Current > FOR (2020) Classification > 4601 Applied computing Historical > Faculty/School/Research Centre/Department > Centre for Applied Informatics |
| Keywords | neutrosophic set; graph cut, indeterminate filtering; elastogram; thyroid ultrasound |
| Citations in Scopus | 5 - View on Scopus |
| Download/View statistics | View download statistics for this item |
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