112 related articles for article (PubMed ID: 8560631)
1. A simulation algorithm for ultrasound liver backscattered signals.
Zatari D; Botros N; Dunn F
Ultrasonics; 1995 Nov; 33(6):469-74. PubMed ID: 8560631
[TBL] [Abstract][Full Text] [Related]
2. In vivo liver differentiation by ultrasound using an artificial neural network.
Zatari D; Botros N; Dunn F
J Acoust Soc Am; 1994 Jul; 96(1):376-81. PubMed ID: 8064022
[TBL] [Abstract][Full Text] [Related]
3. Effects of fatty infiltration in human livers on the backscattered statistics of ultrasound imaging.
Wan YL; Tai DI; Ma HY; Chiang BH; Chen CK; Tsui PH
Proc Inst Mech Eng H; 2015 Jun; 229(6):419-28. PubMed ID: 25963386
[TBL] [Abstract][Full Text] [Related]
4. In vivo study of online liver tissue classification based on envelope power spectrum analysis.
Lang M; Ermert H; Heuser L
Ultrason Imaging; 1994 Apr; 16(2):77-86. PubMed ID: 7974910
[TBL] [Abstract][Full Text] [Related]
5. Global and local detection of liver steatosis from ultrasound.
Ribeiro R; Tato Marinho R; Sanches JM
Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():6547-50. PubMed ID: 23367429
[TBL] [Abstract][Full Text] [Related]
6. Fuzzy neural network-based texture analysis of ultrasonic images.
Pavlopoulos S; Kyriacou E; Koutsouris D; Blekas K; Stafylopatis A; Zoumpoulis P
IEEE Eng Med Biol Mag; 2000; 19(1):39-47. PubMed ID: 10659429
[No Abstract] [Full Text] [Related]
7. A Computer-Aided Diagnosis Scheme For Detection Of Fatty Liver In Vivo Based On Ultrasound Kurtosis Imaging.
Ma HY; Zhou Z; Wu S; Wan YL; Tsui PH
J Med Syst; 2016 Jan; 40(1):33. PubMed ID: 26563476
[TBL] [Abstract][Full Text] [Related]
8. Performance evaluation of feature extraction methods for classifying abnormalities in ultrasound liver images using neural network.
Poonguzhali S; Ravindran G
Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():4791-4. PubMed ID: 17946652
[TBL] [Abstract][Full Text] [Related]
9. Relationship between ultrasound backscattered statistics and the concentration of fatty droplets in livers: an animal study.
Ho MC; Lee YH; Jeng YM; Chen CN; Chang KJ; Tsui PH
PLoS One; 2013; 8(5):e63543. PubMed ID: 23704917
[TBL] [Abstract][Full Text] [Related]
10. Computer aided diagnosis of fatty liver ultrasonic images based on support vector machine.
Li G; Luo Y; Deng W; Xu X; Liu A; Song E
Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():4768-71. PubMed ID: 19163782
[TBL] [Abstract][Full Text] [Related]
11. Effect of ultrasound frequency on the Nakagami statistics of human liver tissues.
Tsui PH; Zhou Z; Lin YH; Hung CM; Chung SJ; Wan YL
PLoS One; 2017; 12(8):e0181789. PubMed ID: 28763461
[TBL] [Abstract][Full Text] [Related]
12. Improved algorithm for estimation of attenuation along propagation path using backscattered echoes from multiple sources.
Bigelow TA
Ultrasonics; 2010 Apr; 50(4-5):496-501. PubMed ID: 19913861
[TBL] [Abstract][Full Text] [Related]
13. On estimating the number density of random scatterers from backscattered acoustic signals.
Sleefe GE; Lele PP
Ultrasound Med Biol; 1988; 14(8):709-27. PubMed ID: 3062865
[TBL] [Abstract][Full Text] [Related]
14. Real-time neural network inversion on the SRC-6e reconfigurable computer.
Duren RW; Marks RJ; Reynolds PD; Trumbo ML
IEEE Trans Neural Netw; 2007 May; 18(3):889-901. PubMed ID: 17526353
[TBL] [Abstract][Full Text] [Related]
15. Distributed computing methodology for training neural networks in an image-guided diagnostic application.
Plagianakos VP; Magoulas GD; Vrahatis MN
Comput Methods Programs Biomed; 2006 Mar; 81(3):228-35. PubMed ID: 16476503
[TBL] [Abstract][Full Text] [Related]
16. Automated cell-type classification combining dilated convolutional neural networks with label-free acoustic sensing.
Jeon HJ; Lim HG; Shung KK; Lee OJ; Kim MG
Sci Rep; 2022 Nov; 12(1):19873. PubMed ID: 36400803
[TBL] [Abstract][Full Text] [Related]
17. Blind extraction of global signal from multi-channel noisy observations.
Washizawa Y; Yamashita Y; Tanaka T; Cichocki A
IEEE Trans Neural Netw; 2010 Sep; 21(9):1472-81. PubMed ID: 20667810
[TBL] [Abstract][Full Text] [Related]
18. Evaluation of fatty proportion in fatty liver using least squares method with constraints.
Li X; Deng Y; Yu J; Wang Y; Shamdasani V
Biomed Mater Eng; 2014; 24(6):2811-20. PubMed ID: 25226986
[TBL] [Abstract][Full Text] [Related]
19. Automated detection and classification of liver fibrosis stages using contourlet transform and nonlinear features.
Acharya UR; Raghavendra U; Koh JEW; Meiburger KM; Ciaccio EJ; Hagiwara Y; Molinari F; Leong WL; Vijayananthan A; Yaakup NA; Fabell MKBM; Yeong CH
Comput Methods Programs Biomed; 2018 Nov; 166():91-98. PubMed ID: 30415722
[TBL] [Abstract][Full Text] [Related]
20. A Preliminary Study of Liver Fat Quantification Using Reported Ultrasound Speed of Sound and Attenuation Parameters.
Ormachea J; Parker KJ
Ultrasound Med Biol; 2022 Apr; 48(4):675-684. PubMed ID: 35039191
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
