000 01509 a2200457 4500
005 20250517202129.0
264 0 _c20190115
008 201901s 0 0 eng d
022 _a1879-0534
024 7 _a10.1016/j.compbiomed.2018.02.002
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aRaghavendra, U
245 0 0 _aOptimized multi-level elongated quinary patterns for the assessment of thyroid nodules in ultrasound images.
_h[electronic resource]
260 _bComputers in biology and medicine
_c04 2018
300 _a55-62 p.
_bdigital
500 _aPublication Type: Journal Article
650 0 4 _aAdult
650 0 4 _aAged
650 0 4 _aDatabases, Factual
650 0 4 _aDiagnosis, Computer-Assisted
_xmethods
650 0 4 _aFemale
650 0 4 _aHumans
650 0 4 _aImage Processing, Computer-Assisted
_xmethods
650 0 4 _aMale
650 0 4 _aMiddle Aged
650 0 4 _aSupport Vector Machine
650 0 4 _aThyroid Nodule
_xdiagnostic imaging
650 0 4 _aUltrasonography
700 1 _aGudigar, Anjan
700 1 _aMaithri, M
700 1 _aGertych, Arkadiusz
700 1 _aMeiburger, Kristen M
700 1 _aYeong, Chai Hong
700 1 _aMadla, Chakri
700 1 _aKongmebhol, Pailin
700 1 _aMolinari, Filippo
700 1 _aNg, Kwan Hoong
700 1 _aAcharya, U Rajendra
773 0 _tComputers in biology and medicine
_gvol. 95
_gp. 55-62
856 4 0 _uhttps://doi.org/10.1016/j.compbiomed.2018.02.002
_zAvailable from publisher's website
999 _c28097258
_d28097258