302 related articles for article (PubMed ID: 31780753)
1. Diagnosis of Thyroid Nodules: Performance of a Deep Learning Convolutional Neural Network Model vs. Radiologists.
Park VY; Han K; Seong YK; Park MH; Kim EK; Moon HJ; Yoon JH; Kwak JY
Sci Rep; 2019 Nov; 9(1):17843. PubMed ID: 31780753
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Evaluation of a deep learning-based computer-aided diagnosis system for distinguishing benign from malignant thyroid nodules in ultrasound images.
Sun C; Zhang Y; Chang Q; Liu T; Zhang S; Wang X; Guo Q; Yao J; Sun W; Niu L
Med Phys; 2020 Sep; 47(9):3952-3960. PubMed ID: 32473030
[TBL] [Abstract][Full Text] [Related]
4. Management of Thyroid Nodules Seen on US Images: Deep Learning May Match Performance of Radiologists.
Buda M; Wildman-Tobriner B; Hoang JK; Thayer D; Tessler FN; Middleton WD; Mazurowski MA
Radiology; 2019 Sep; 292(3):695-701. PubMed ID: 31287391
[TBL] [Abstract][Full Text] [Related]
5. Computer-aided diagnosis system for thyroid nodules on ultrasonography: diagnostic performance and reproducibility based on the experience level of operators.
Jeong EY; Kim HL; Ha EJ; Park SY; Cho YJ; Han M
Eur Radiol; 2019 Apr; 29(4):1978-1985. PubMed ID: 30350161
[TBL] [Abstract][Full Text] [Related]
6. Computer-Aided Diagnosis System for the Evaluation of Thyroid Nodules on Ultrasonography: Prospective Non-Inferiority Study according to the Experience Level of Radiologists.
Chung SR; Baek JH; Lee MK; Ahn Y; Choi YJ; Sung TY; Song DE; Kim TY; Lee JH
Korean J Radiol; 2020 Mar; 21(3):369-376. PubMed ID: 32090529
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Diagnosis of thyroid micronodules on ultrasound using a deep convolutional neural network.
Rho M; Chun SH; Lee E; Lee HS; Yoon JH; Park VY; Han K; Kwak JY
Sci Rep; 2023 May; 13(1):7231. PubMed ID: 37142760
[TBL] [Abstract][Full Text] [Related]
9. Ultrasound Computer-Aided Diagnosis (CAD) Based on the Thyroid Imaging Reporting and Data System (TI-RADS) to Distinguish Benign from Malignant Thyroid Nodules and the Diagnostic Performance of Radiologists with Different Diagnostic Experience.
Jin Z; Zhu Y; Zhang S; Xie F; Zhang M; Zhang Y; Tian X; Zhang J; Luo Y; Cao J
Med Sci Monit; 2020 Jan; 26():e918452. PubMed ID: 31929498
[TBL] [Abstract][Full Text] [Related]
10. Computer-aided diagnosis system of thyroid nodules ultrasonography: Diagnostic performance difference between computer-aided diagnosis and 111 radiologists.
Li T; Jiang Z; Lu M; Zou S; Wu M; Wei T; Wang L; Li J; Hu Z; Cheng X; Liao J
Medicine (Baltimore); 2020 Jun; 99(23):e20634. PubMed ID: 32502044
[TBL] [Abstract][Full Text] [Related]
11. Differential Diagnosis of Benign and Malignant Thyroid Nodules Using Deep Learning Radiomics of Thyroid Ultrasound Images.
Zhou H; Jin Y; Dai L; Zhang M; Qiu Y; Wang K; Tian J; Zheng J
Eur J Radiol; 2020 Jun; 127():108992. PubMed ID: 32339983
[TBL] [Abstract][Full Text] [Related]
12. Deep convolutional neural network for classification of thyroid nodules on ultrasound: Comparison of the diagnostic performance with that of radiologists.
Kim YJ; Choi Y; Hur SJ; Park KS; Kim HJ; Seo M; Lee MK; Jung SL; Jung CK
Eur J Radiol; 2022 Jul; 152():110335. PubMed ID: 35512512
[TBL] [Abstract][Full Text] [Related]
13. Deep convolutional neural network for the diagnosis of thyroid nodules on ultrasound.
Ko SY; Lee JH; Yoon JH; Na H; Hong E; Han K; Jung I; Kim EK; Moon HJ; Park VY; Lee E; Kwak JY
Head Neck; 2019 Apr; 41(4):885-891. PubMed ID: 30715773
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Automated detection and classification of thyroid nodules in ultrasound images using clinical-knowledge-guided convolutional neural networks.
Liu T; Guo Q; Lian C; Ren X; Liang S; Yu J; Niu L; Sun W; Shen D
Med Image Anal; 2019 Dec; 58():101555. PubMed ID: 31520984
[TBL] [Abstract][Full Text] [Related]
16. Effectiveness evaluation of computer-aided diagnosis system for the diagnosis of thyroid nodules on ultrasound: A systematic review and meta-analysis.
Zhao WJ; Fu LR; Huang ZM; Zhu JQ; Ma BY
Medicine (Baltimore); 2019 Aug; 98(32):e16379. PubMed ID: 31393347
[TBL] [Abstract][Full Text] [Related]
17. Ensemble Deep Learning Model for Multicenter Classification of Thyroid Nodules on Ultrasound Images.
Wei X; Gao M; Yu R; Liu Z; Gu Q; Liu X; Zheng Z; Zheng X; Zhu J; Zhang S
Med Sci Monit; 2020 Jun; 26():e926096. PubMed ID: 32555130
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Deep learning for classification of thyroid nodules on ultrasound: validation on an independent dataset.
Weng J; Wildman-Tobriner B; Buda M; Yang J; Ho LM; Allen BC; Ehieli WL; Miller CM; Zhang J; Mazurowski MA
Clin Imaging; 2023 Jul; 99():60-66. PubMed ID: 37116263
[TBL] [Abstract][Full Text] [Related]
20. Thyroid nodules risk stratification through deep learning based on ultrasound images.
Bai Z; Chang L; Yu R; Li X; Wei X; Yu M; Liu Z; Gao J; Zhu J; Zhang Y; Wang S; Zhang Z
Med Phys; 2020 Dec; 47(12):6355-6365. PubMed ID: 33089513
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]