170 related articles for article (PubMed ID: 21728394)
1. Cost-effective and non-invasive automated benign and malignant thyroid lesion classification in 3D contrast-enhanced ultrasound using combination of wavelets and textures: a class of ThyroScan™ algorithms.
Acharya UR; Faust O; Sree SV; Molinari F; Garberoglio R; Suri JS
Technol Cancer Res Treat; 2011 Aug; 10(4):371-80. PubMed ID: 21728394
[TBL] [Abstract][Full Text] [Related]
2. Non-invasive automated 3D thyroid lesion classification in ultrasound: a class of ThyroScan™ systems.
Acharya UR; Vinitha Sree S; Krishnan MM; Molinari F; Garberoglio R; Suri JS
Ultrasonics; 2012 Apr; 52(4):508-20. PubMed ID: 22154208
[TBL] [Abstract][Full Text] [Related]
3. ThyroScreen system: high resolution ultrasound thyroid image characterization into benign and malignant classes using novel combination of texture and discrete wavelet transform.
Acharya UR; Faust O; Sree SV; Molinari F; Suri JS
Comput Methods Programs Biomed; 2012 Aug; 107(2):233-41. PubMed ID: 22054816
[TBL] [Abstract][Full Text] [Related]
4. Automated benign & malignant thyroid lesion characterization and classification in 3D contrast-enhanced ultrasound.
Acharya UR; S VS; Molinari F; Garberoglio R; Witkowska A; Suri JS
Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():452-5. PubMed ID: 23365926
[TBL] [Abstract][Full Text] [Related]
5. Classification of Benign and Malignant Thyroid Nodules Using Wavelet Texture Analysis of Sonograms.
Ardakani AA; Gharbali A; Mohammadi A
J Ultrasound Med; 2015 Nov; 34(11):1983-9. PubMed ID: 26396168
[TBL] [Abstract][Full Text] [Related]
6. Significance of ultrasound features in predicting malignant solid thyroid nodules: need for fine-needle aspiration.
Yunus M; Ahmed Z
J Pak Med Assoc; 2010 Oct; 60(10):848-53. PubMed ID: 21381618
[TBL] [Abstract][Full Text] [Related]
7. Development of an Automated Medical Diagnosis System for Classifying Thyroid Tumor Cells using Multiple Classifier Fusion.
Gopinath B; Shanthi N
Technol Cancer Res Treat; 2015 Oct; 14(5):653-62. PubMed ID: 24750006
[TBL] [Abstract][Full Text] [Related]
8. Effect of complex wavelet transform filter on thyroid tumor classification in three-dimensional ultrasound.
Acharya UR; Sree SV; Swapna G; Gupta S; Molinari F; Garberoglio R; Witkowska A; Suri JS
Proc Inst Mech Eng H; 2013 Mar; 227(3):284-92. PubMed ID: 23662344
[TBL] [Abstract][Full Text] [Related]
9. Computer-aided diagnosis system for classifying benign and malignant thyroid nodules in multi-stained FNAB cytological images.
Gopinath B; Shanthi N
Australas Phys Eng Sci Med; 2013 Jun; 36(2):219-30. PubMed ID: 23690210
[TBL] [Abstract][Full Text] [Related]
10. New sonographic criteria for recommending fine-needle aspiration biopsy of nonpalpable solid nodules of the thyroid.
Kim EK; Park CS; Chung WY; Oh KK; Kim DI; Lee JT; Yoo HS
AJR Am J Roentgenol; 2002 Mar; 178(3):687-91. PubMed ID: 11856699
[TBL] [Abstract][Full Text] [Related]
11. The diagnostic accuracy of ultrasound-guided fine-needle aspiration biopsy and the sonographic differences between benign and malignant thyroid nodules 3 cm or larger.
Yoon JH; Kwak JY; Moon HJ; Kim MJ; Kim EK
Thyroid; 2011 Sep; 21(9):993-1000. PubMed ID: 21834673
[TBL] [Abstract][Full Text] [Related]
12. Ultrasound-based differentiation of malignant and benign thyroid Nodules: An extreme learning machine approach.
Xia J; Chen H; Li Q; Zhou M; Chen L; Cai Z; Fang Y; Zhou H
Comput Methods Programs Biomed; 2017 Aug; 147():37-49. PubMed ID: 28734529
[TBL] [Abstract][Full Text] [Related]
13. Machine learning study of several classifiers trained with texture analysis features to differentiate benign from malignant soft-tissue tumors in T1-MRI images.
Juntu J; Sijbers J; De Backer S; Rajan J; Van Dyck D
J Magn Reson Imaging; 2010 Mar; 31(3):680-9. PubMed ID: 20187212
[TBL] [Abstract][Full Text] [Related]
14. Pearls and pitfalls of thyroid nodule sonography and fine-needle aspiration.
Ginat DT; Butani D; Giampoli EJ; Patel N; Dogra V
Ultrasound Q; 2010 Sep; 26(3):171-8. PubMed ID: 20823751
[TBL] [Abstract][Full Text] [Related]
15. Atypia of undetermined significance and follicular lesions of undetermined significance: sonographic assessment for prediction of the final diagnosis.
Kamaya A; Lewis GH; Liu Y; Akatsu H; Kong C; Desser TS
J Ultrasound Med; 2015 May; 34(5):767-74. PubMed ID: 25911708
[TBL] [Abstract][Full Text] [Related]
16. A review on ultrasound-based thyroid cancer tissue characterization and automated classification.
Acharya UR; Swapna G; Sree SV; Molinari F; Gupta S; Bardales RH; Witkowska A; Suri JS
Technol Cancer Res Treat; 2014 Aug; 13(4):289-301. PubMed ID: 24206204
[TBL] [Abstract][Full Text] [Related]
17. Computer-aided diagnosis for classifying benign versus malignant thyroid nodules based on ultrasound images: A comparison with radiologist-based assessments.
Chang Y; Paul AK; Kim N; Baek JH; Choi YJ; Ha EJ; Lee KD; Lee HS; Shin D; Kim N
Med Phys; 2016 Jan; 43(1):554. PubMed ID: 26745948
[TBL] [Abstract][Full Text] [Related]
18. Diagnostic value of ultrasonography to distinguish between benign and malignant lesions in the management of thyroid nodules.
Tae HJ; Lim DJ; Baek KH; Park WC; Lee YS; Choi JE; Lee JM; Kang MI; Cha BY; Son HY; Lee KW; Kang SK
Thyroid; 2007 May; 17(5):461-6. PubMed ID: 17542676
[TBL] [Abstract][Full Text] [Related]
19. The utility of ultrasound elastography and MicroPure imaging in the differentiation of benign and malignant thyroid nodules.
Ciledag N; Arda K; Aribas BK; Aktas E; Köse SK
AJR Am J Roentgenol; 2012 Mar; 198(3):W244-9. PubMed ID: 22358021
[TBL] [Abstract][Full Text] [Related]
20. Differential diagnosis of benign and malignant thyroid nodules at elastosonography.
Rubaltelli L; Corradin S; Dorigo A; Stabilito M; Tregnaghi A; Borsato S; Stramare R
Ultraschall Med; 2009 Apr; 30(2):175-9. PubMed ID: 18496776
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
