An automatic visual inspection method based on supervised machine learning for rapid on-site evaluation in EUS-FNA
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: 2014DOI: 10.1109/CISP.2014.7003923
Keyword(s): Arrays,Covariance matrices,Direction-of-arrival estimation,Estimation,Sensors,Signal processing algorithms,Signal to noise ratio,Direction-of-Arrival (DOA),MUSIC,covariance matrix,underdetermined mixtures
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An automatic visual inspection method based on supervised machine learning for rapid on-site evaluation in EUS-FNA
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| contributor author | Inoue, H. | |
| contributor author | Ogo, K. | |
| contributor author | Tabuchi, M. | |
| contributor author | Yamane, N. | |
| contributor author | Oka, H. | |
| date accessioned | 2020-03-12T21:20:31Z | |
| date available | 2020-03-12T21:20:31Z | |
| date issued | 2014 | |
| identifier other | 6935253.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1045508 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | An automatic visual inspection method based on supervised machine learning for rapid on-site evaluation in EUS-FNA | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8174092 | |
| subject keywords | Arrays | |
| subject keywords | Covariance matrices | |
| subject keywords | Direction-of-arrival estimation | |
| subject keywords | Estimation | |
| subject keywords | Sensors | |
| subject keywords | Signal processing algorithms | |
| subject keywords | Signal to noise ratio | |
| subject keywords | Direction-of-Arrival (DOA) | |
| subject keywords | MUSIC | |
| subject keywords | covariance matrix | |
| subject keywords | underdetermined mixtures | |
| identifier doi | 10.1109/CISP.2014.7003923 | |
| journal title | ICE Annual Conference (SICE), 2014 Proceedings of the | |
| filesize | 1962530 | |
| citations | 0 |