These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
188 related articles for article (PubMed ID: 37142760)
1. 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]
2. 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]
3. A comparison between deep learning convolutional neural networks and radiologists in the differentiation of benign and malignant thyroid nodules on CT images. Zhao HB; Liu C; Ye J; Chang LF; Xu Q; Shi BW; Liu LL; Yin YL; Shi BB Endokrynol Pol; 2021; 72(3):217-225. PubMed ID: 33619712 [TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. Convolutional Neural Network to Stratify the Malignancy Risk of Thyroid Nodules: Diagnostic Performance Compared with the American College of Radiology Thyroid Imaging Reporting and Data System Implemented by Experienced Radiologists. Kim GR; Lee E; Kim HR; Yoon JH; Park VY; Kwak JY AJNR Am J Neuroradiol; 2021 Aug; 42(8):1513-1519. PubMed ID: 33985947 [TBL] [Abstract][Full Text] [Related]
7. 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]
8. Diagnosis of thyroid nodules on ultrasonography by a deep convolutional neural network. Koh J; Lee E; Han K; Kim EK; Son EJ; Sohn YM; Seo M; Kwon MR; Yoon JH; Lee JH; Park YM; Kim S; Shin JH; Kwak JY Sci Rep; 2020 Sep; 10(1):15245. PubMed ID: 32943696 [TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. Diagnosing thyroid nodules with atypia of undetermined significance/follicular lesion of undetermined significance cytology with the deep convolutional neural network. Youn I; Lee E; Yoon JH; Lee HS; Kwon MR; Moon J; Kang S; Kwon SK; Jung KY; Park YJ; Park DJ; Cho SW; Kwak JY Sci Rep; 2021 Oct; 11(1):20048. PubMed ID: 34625636 [TBL] [Abstract][Full Text] [Related]
12. Deep learning to assist composition classification and thyroid solid nodule diagnosis: a multicenter diagnostic study. Chen C; Jiang Y; Yao J; Lai M; Liu Y; Jiang X; Ou D; Feng B; Zhou L; Xu J; Wu L; Zhou Y; Yue W; Dong F; Xu D Eur Radiol; 2024 Apr; 34(4):2323-2333. PubMed ID: 37819276 [TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
15. An efficient deep convolutional neural network model for visual localization and automatic diagnosis of thyroid nodules on ultrasound images. Zhu J; Zhang S; Yu R; Liu Z; Gao H; Yue B; Liu X; Zheng X; Gao M; Wei X Quant Imaging Med Surg; 2021 Apr; 11(4):1368-1380. PubMed ID: 33816175 [TBL] [Abstract][Full Text] [Related]
16. Detection of Thyroid Nodules with Ultrasound Images Based on Deep Learning. Yu X; Wang H; Ma L Curr Med Imaging Rev; 2020; 16(2):174-180. PubMed ID: 32003318 [TBL] [Abstract][Full Text] [Related]
17. 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]