241 related articles for article (PubMed ID: 31201559)
1. Diagnosis of Thyroid Nodules Based on Local Non-quantitative Multi-Directional Texture Descriptor with Rotation Invariant Characteristics for Ultrasound Image.
Bi L; Shuang Z
J Med Syst; 2019 Jun; 43(7):231. PubMed ID: 31201559
[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. Thyroid nodule recognition based on feature selection and pixel classification methods.
Bibicu D; Moraru L; Biswas A
J Digit Imaging; 2013 Feb; 26(1):119-28. PubMed ID: 22546981
[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. Active contours guided by echogenicity and texture for delineation of thyroid nodules in ultrasound images.
Savelonas MA; Iakovidis DK; Legakis I; Maroulis D
IEEE Trans Inf Technol Biomed; 2009 Jul; 13(4):519-27. PubMed ID: 19193513
[TBL] [Abstract][Full Text] [Related]
7. Rotation-invariant image and video description with local binary pattern features.
Zhao G; Ahonen T; Matas J; Pietikäinen M
IEEE Trans Image Process; 2012 Apr; 21(4):1465-77. PubMed ID: 22086501
[TBL] [Abstract][Full Text] [Related]
8. Classification of Thyroid Nodules in Ultrasound Images Using Direction-Independent Features Extracted by Two-Threshold Binary Decomposition.
Prochazka A; Gulati S; Holinka S; Smutek D
Technol Cancer Res Treat; 2019 Jan; 18():1533033819830748. PubMed ID: 30774015
[TBL] [Abstract][Full Text] [Related]
9. Patch-based classification of thyroid nodules in ultrasound images using direction independent features extracted by two-threshold binary decomposition.
Prochazka A; Gulati S; Holinka S; Smutek D
Comput Med Imaging Graph; 2019 Jan; 71():9-18. PubMed ID: 30453231
[TBL] [Abstract][Full Text] [Related]
10. Brain Tumor Segmentation Based on Improved Convolutional Neural Network in Combination with Non-quantifiable Local Texture Feature.
Deng W; Shi Q; Luo K; Yang Y; Ning N
J Med Syst; 2019 Apr; 43(6):152. PubMed ID: 31016467
[TBL] [Abstract][Full Text] [Related]
11. Cascade marker removal algorithm for thyroid ultrasound images.
Ying X; Zhang Y; Yu M; Wei X; Zhu J; Gao J; Liu Z; Shen H; Zhang R; Li X; Yu R
Med Biol Eng Comput; 2020 Nov; 58(11):2641-2656. PubMed ID: 32840765
[TBL] [Abstract][Full Text] [Related]
12. Scale- and rotation-invariant local binary pattern using scale-adaptive texton and subuniform-based circular shift.
Li Z; Liu G; Yang Y; You J
IEEE Trans Image Process; 2012 Apr; 21(4):2130-40. PubMed ID: 22049368
[TBL] [Abstract][Full Text] [Related]
13. Rotation-invariant multiresolution texture analysis using radon and wavelet transforms.
Jafari-Khouzani K; Soltanian-Zadeh H
IEEE Trans Image Process; 2005 Jun; 14(6):783-95. PubMed ID: 15971777
[TBL] [Abstract][Full Text] [Related]
14. Locally rotation, contrast, and scale invariant descriptors for texture analysis.
Mellor M; Hong BW; Brady M
IEEE Trans Pattern Anal Mach Intell; 2008 Jan; 30(1):52-61. PubMed ID: 18000324
[TBL] [Abstract][Full Text] [Related]
15. Robust rotation-invariant texture classification using a model based approach.
Campisi P; Neri A; Panci G; Scarano G
IEEE Trans Image Process; 2004 Jun; 13(6):782-91. PubMed ID: 15648869
[TBL] [Abstract][Full Text] [Related]
16. Thyroid nodule recognition in computed tomography using first order statistics.
Peng W; Liu C; Xia S; Shao D; Chen Y; Liu R; Zhang Z
Biomed Eng Online; 2017 Jun; 16(1):67. PubMed ID: 28592331
[TBL] [Abstract][Full Text] [Related]
17. A Model Using Texture Features to Differentiate the Nature of Thyroid Nodules on Sonography.
Song G; Xue F; Zhang C
J Ultrasound Med; 2015 Oct; 34(10):1753-60. PubMed ID: 26307120
[TBL] [Abstract][Full Text] [Related]
18. Fusion of fuzzy statistical distributions for classification of thyroid ultrasound patterns.
Iakovidis DK; Keramidas EG; Maroulis D
Artif Intell Med; 2010 Sep; 50(1):33-41. PubMed ID: 20427164
[TBL] [Abstract][Full Text] [Related]
19. Computerized detection and quantification of microcalcifications in thyroid nodules.
Chen KY; Chen CN; Wu MH; Ho MC; Tai HC; Huang WC; Chung YC; Chen A; Chang KJ
Ultrasound Med Biol; 2011 Jun; 37(6):870-8. PubMed ID: 21546154
[TBL] [Abstract][Full Text] [Related]
20. Completed local ternary pattern for rotation invariant texture classification.
Rassem TH; Khoo BE
ScientificWorldJournal; 2014; 2014():373254. PubMed ID: 24977193
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
