184 related articles for article (PubMed ID: 27825038)
1. Automated characterization of fatty liver disease and cirrhosis using curvelet transform and entropy features extracted from ultrasound images.
Acharya UR; Raghavendra U; Fujita H; Hagiwara Y; Koh JE; Jen Hong T; Sudarshan VK; Vijayananthan A; Yeong CH; Gudigar A; Ng KH
Comput Biol Med; 2016 Dec; 79():250-258. PubMed ID: 27825038
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Data mining framework for fatty liver disease classification in ultrasound: a hybrid feature extraction paradigm.
Acharya UR; Sree SV; Ribeiro R; Krishnamurthi G; Marinho RT; Sanches J; Suri JS
Med Phys; 2012 Jul; 39(7):4255-64. PubMed ID: 22830759
[TBL] [Abstract][Full Text] [Related]
4. Staging of Fatty Liver Diseases Based on Hierarchical Classification and Feature Fusion for Back-Scan-Converted Ultrasound Images.
Owjimehr M; Danyali H; Helfroush MS; Shakibafard A
Ultrason Imaging; 2017 Mar; 39(2):79-95. PubMed ID: 27694278
[TBL] [Abstract][Full Text] [Related]
5. Automated diagnosis of Age-related Macular Degeneration using greyscale features from digital fundus images.
Mookiah MR; Acharya UR; Koh JE; Chandran V; Chua CK; Tan JH; Lim CM; Ng EY; Noronha K; Tong L; Laude A
Comput Biol Med; 2014 Oct; 53():55-64. PubMed ID: 25127409
[TBL] [Abstract][Full Text] [Related]
6. Automated stratification of liver disease in ultrasound: An online accurate feature classification paradigm.
Saba L; Dey N; Ashour AS; Samanta S; Nath SS; Chakraborty S; Sanches J; Kumar D; Marinho R; Suri JS
Comput Methods Programs Biomed; 2016 Jul; 130():118-34. PubMed ID: 27208527
[TBL] [Abstract][Full Text] [Related]
7. Preliminary Study of Chronic Liver Classification on Ultrasound Images Using an Ensemble Model.
Bharti P; Mittal D; Ananthasivan R
Ultrason Imaging; 2018 Nov; 40(6):357-379. PubMed ID: 30015593
[TBL] [Abstract][Full Text] [Related]
8. Evolutionary algorithm-based classifier parameter tuning for automatic ovarian cancer tissue characterization and classification.
Acharya UR; Mookiah MR; Vinitha Sree S; Yanti R; Martis RJ; Saba L; Molinari F; Guerriero S; Suri JS
Ultraschall Med; 2014 Jun; 35(3):237-45. PubMed ID: 23258769
[TBL] [Abstract][Full Text] [Related]
9. Computer image analysis of ultrasound images for discriminating and grading liver parenchyma disease employing a hierarchical decision tree scheme and the multilayer perceptron neural network classifier.
Cavouras D; Kandarakis I; Theotokas I; Kanellopoulos E; Triantis D; Behrakis I; Manesis EK; Vafiadi-Zoumpouli I; Zoumpoulis P
Stud Health Technol Inform; 1997; 43 Pt B():522-6. PubMed ID: 10179720
[TBL] [Abstract][Full Text] [Related]
10. Automated plaque classification using computed tomography angiography and Gabor transformations.
Rajendra Acharya U; Meiburger KM; Wei Koh JE; Vicnesh J; Ciaccio EJ; Shu Lih O; Tan SK; Aman RRAR; Molinari F; Ng KH
Artif Intell Med; 2019 Sep; 100():101724. PubMed ID: 31607348
[TBL] [Abstract][Full Text] [Related]
11. An ultrasound-based computer-aided diagnosis tool for steatosis detection.
Ribeiro RT; Marinho RT; Sanches JM
IEEE J Biomed Health Inform; 2014 Jul; 18(4):1397-403. PubMed ID: 24122605
[TBL] [Abstract][Full Text] [Related]
12. Novel risk index for the identification of age-related macular degeneration using radon transform and DWT features.
Acharya UR; Mookiah MR; Koh JE; Tan JH; Noronha K; Bhandary SV; Rao AK; Hagiwara Y; Chua CK; Laude A
Comput Biol Med; 2016 Jun; 73():131-40. PubMed ID: 27107676
[TBL] [Abstract][Full Text] [Related]
13. Computer-aided diagnosis of sonographic liver cirrhosis: a spleen-reference approach.
Yang PM; Chen CM; Lu TW; Yen CP
Med Phys; 2008 Apr; 35(4):1180-90. PubMed ID: 18491509
[TBL] [Abstract][Full Text] [Related]
14. Computer-aided diagnostic system for detection of Hashimoto thyroiditis on ultrasound images from a Polish population.
Acharya UR; Sree SV; Krishnan MM; Molinari F; Zieleźnik W; Bardales RH; Witkowska A; Suri JS
J Ultrasound Med; 2014 Feb; 33(2):245-53. PubMed ID: 24449727
[TBL] [Abstract][Full Text] [Related]
15. Automated classification of liver disorders using ultrasound images.
Minhas Fu; Sabih D; Hussain M
J Med Syst; 2012 Oct; 36(5):3163-72. PubMed ID: 22072280
[TBL] [Abstract][Full Text] [Related]
16. The echotextural characteristics for the diagnosis of the liver cirrhosis using the sonographic images.
Jeong JW; Lee S; Lee JW; Yoo DS; Kim S
Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():1343-5. PubMed ID: 18002212
[TBL] [Abstract][Full Text] [Related]
17. Ultrasonic liver discrimination using 2-D phase congruency.
Cao G; Shi P; Hu B
IEEE Trans Biomed Eng; 2006 Oct; 53(10):2116-9. PubMed ID: 17019877
[TBL] [Abstract][Full Text] [Related]
18. [Computer-aided diagnosis of fatty liver based on ultrasonic images].
Wang X; Lin J; Li D; Wang T; Zheng C; Cheng Y
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2006 Aug; 23(4):726-9. PubMed ID: 17002094
[TBL] [Abstract][Full Text] [Related]
19. Effective staging of fibrosis by the selected texture features of liver: Which one is better, CT or MR imaging?
Zhang X; Gao X; Liu BJ; Ma K; Yan W; Liling L; Yuhong H; Fujita H
Comput Med Imaging Graph; 2015 Dec; 46 Pt 2():227-36. PubMed ID: 26455963
[TBL] [Abstract][Full Text] [Related]
20. Prostate tissue characterization/classification in 144 patient population using wavelet and higher order spectra features from transrectal ultrasound images.
Pareek G; Acharya UR; Sree SV; Swapna G; Yantri R; Martis RJ; Saba L; Krishnamurthi G; Mallarini G; El-Baz A; Al Ekish S; Beland M; Suri JS
Technol Cancer Res Treat; 2013 Dec; 12(6):545-57. PubMed ID: 23745787
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]