181 related articles for article (PubMed ID: 30990130)
1. A Variance-reduction Approach to Detection of the Thyroid-nodule Boundary on Ultrasound Images.
Chiu LY; Chen A
Ultrason Imaging; 2019 Jul; 41(4):206-230. PubMed ID: 30990130
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Automatic thyroid nodule recognition and diagnosis in ultrasound imaging with the YOLOv2 neural network.
Wang L; Yang S; Yang S; Zhao C; Tian G; Gao Y; Chen Y; Lu Y
World J Surg Oncol; 2019 Jan; 17(1):12. PubMed ID: 30621704
[TBL] [Abstract][Full Text] [Related]
4. Automatic diagnosis for thyroid nodules in ultrasound images by deep neural networks.
Wang L; Zhang L; Zhu M; Qi X; Yi Z
Med Image Anal; 2020 Apr; 61():101665. PubMed ID: 32062156
[TBL] [Abstract][Full Text] [Related]
5. A hybrid multi-scale model for thyroid nodule boundary detection on ultrasound images.
Tsantis S; Dimitropoulos N; Cavouras D; Nikiforidis G
Comput Methods Programs Biomed; 2006 Dec; 84(2-3):86-98. PubMed ID: 17055608
[TBL] [Abstract][Full Text] [Related]
6. Ultrasound image-based thyroid nodule automatic segmentation using convolutional neural networks.
Ma J; Wu F; Jiang T; Zhao Q; Kong D
Int J Comput Assist Radiol Surg; 2017 Nov; 12(11):1895-1910. PubMed ID: 28762196
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Intuitionistic based segmentation of thyroid nodules in ultrasound images.
Koundal D; Sharma B; Guo Y
Comput Biol Med; 2020 Jun; 121():103776. PubMed ID: 32568671
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Semi-Supervised Thyroid Nodule Detection in Ultrasound Videos.
Luo X; Li Z; Xu C; Zhang B; Zhang L; Zhu J; Huang P; Wang X; Yang M; Chang S
IEEE Trans Med Imaging; 2024 May; 43(5):1792-1803. PubMed ID: 38163305
[TBL] [Abstract][Full Text] [Related]
11. Reliable Thyroid Carcinoma Detection with Real-Time Intelligent Analysis of Ultrasound Images.
Fang H; Gong L; Xu Y; Zhuo Y; Kong W; Peng C; Yuan J
Ultrasound Med Biol; 2021 Mar; 47(3):590-602. PubMed ID: 33328131
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Super-resolution based Nodule Localization in Thyroid Ultrasound Images through Deep Learning.
Li J; Guo Q; Peng S; Tan X
Curr Med Imaging; 2024; 20(1):e15734056269264. PubMed ID: 38766836
[TBL] [Abstract][Full Text] [Related]
14. Diagnosis of Benign and Malignant Thyroid Nodules Using Combined Conventional Ultrasound and Ultrasound Elasticity Imaging.
Qin P; Wu K; Hu Y; Zeng J; Chai X
IEEE J Biomed Health Inform; 2020 Apr; 24(4):1028-1036. PubMed ID: 31689223
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Multitask Cascade Convolution Neural Networks for Automatic Thyroid Nodule Detection and Recognition.
Song W; Li S; Liu J; Qin H; Zhang B; Zhang S; Hao A
IEEE J Biomed Health Inform; 2019 May; 23(3):1215-1224. PubMed ID: 29994412
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Variable background active contour model for computer-aided delineation of nodules in thyroid ultrasound images.
Maroulis DE; Savelonas MA; Iakovidis DK; Karkanis SA; Dimitropoulos N
IEEE Trans Inf Technol Biomed; 2007 Sep; 11(5):537-43. PubMed ID: 17912970
[TBL] [Abstract][Full Text] [Related]
19. Quantitative Evaluation for Differentiating Malignant and Benign Thyroid Nodules Using Histogram Analysis of Grayscale Sonograms.
Nam SJ; Yoo J; Lee HS; Kim EK; Moon HJ; Yoon JH; Kwak JY
J Ultrasound Med; 2016 Apr; 35(4):775-82. PubMed ID: 26969596
[TBL] [Abstract][Full Text] [Related]
20. Clinical Value of a Computer-Aided Diagnosis System in Thyroid Nodules: Analysis of a Reading Map Competition.
Jin A; Li Y; Shen J; Zhang Y; Wang Y
Ultrasound Med Biol; 2019 Oct; 45(10):2666-2671. PubMed ID: 31281010
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]