216 related articles for article (PubMed ID: 34719057)
21. 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]
22. Automatic classification of thyroid nodules in ultrasound images using a multi-task attention network guided by clinical knowledge.
Deng P; Han X; Wei X; Chang L
Comput Biol Med; 2022 Nov; 150():106172. PubMed ID: 36242812
[TBL] [Abstract][Full Text] [Related]
23. A Novel Deep-Learning-Based CADx Architecture for Classification of Thyroid Nodules Using Ultrasound Images.
Göreke V
Interdiscip Sci; 2023 Sep; 15(3):360-373. PubMed ID: 36976511
[TBL] [Abstract][Full Text] [Related]
24. Deep learning-based artificial intelligence model to assist thyroid nodule diagnosis and management: a multicentre diagnostic study.
Peng S; Liu Y; Lv W; Liu L; Zhou Q; Yang H; Ren J; Liu G; Wang X; Zhang X; Du Q; Nie F; Huang G; Guo Y; Li J; Liang J; Hu H; Xiao H; Liu Z; Lai F; Zheng Q; Wang H; Li Y; Alexander EK; Wang W; Xiao H
Lancet Digit Health; 2021 Apr; 3(4):e250-e259. PubMed ID: 33766289
[TBL] [Abstract][Full Text] [Related]
25. A computer-aided diagnosing system in the evaluation of thyroid nodules-experience in a specialized thyroid center.
Xia S; Yao J; Zhou W; Dong Y; Xu S; Zhou J; Zhan W
World J Surg Oncol; 2019 Dec; 17(1):210. PubMed ID: 31810469
[TBL] [Abstract][Full Text] [Related]
26. 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]
27. TS-DSANN: Texture and shape focused dual-stream attention neural network for benign-malignant diagnosis of thyroid nodules in ultrasound images.
Tang L; Tian C; Yang H; Cui Z; Hui Y; Xu K; Shen D
Med Image Anal; 2023 Oct; 89():102905. PubMed ID: 37517286
[TBL] [Abstract][Full Text] [Related]
28. 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]
29. Semi-supervised graph convolutional networks for the domain adaptive recognition of thyroid nodules in cross-device ultrasound images.
Zhang K; Li Z; Cai C; Liu J; Xu D; Fang C; Huang P; Wang Y; Yang M; Chang S
Med Phys; 2023 Dec; 50(12):7806-7821. PubMed ID: 36967664
[TBL] [Abstract][Full Text] [Related]
30. 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]
31. 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]
32. Evaluating the performance of a deep learning-based computer-aided diagnosis (DL-CAD) system for detecting and characterizing lung nodules: Comparison with the performance of double reading by radiologists.
Li L; Liu Z; Huang H; Lin M; Luo D
Thorac Cancer; 2019 Feb; 10(2):183-192. PubMed ID: 30536611
[TBL] [Abstract][Full Text] [Related]
33. 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]
34. Joint Detection of Tap and CEA Based on Deep Learning Medical Image Segmentation: Risk Prediction of Thyroid Cancer.
Lang S; Xu Y; Li L; Wang B; Yang Y; Xue Y; Shi K
J Healthc Eng; 2021; 2021():5920035. PubMed ID: 34158913
[TBL] [Abstract][Full Text] [Related]
35. Deep learning diagnostic performance and visual insights in differentiating benign and malignant thyroid nodules on ultrasound images.
Liu Y; Feng Y; Qian L; Wang Z; Hu X
Exp Biol Med (Maywood); 2023 Dec; 248(24):2538-2546. PubMed ID: 38279511
[TBL] [Abstract][Full Text] [Related]
36. TNSNet: Thyroid nodule segmentation in ultrasound imaging using soft shape supervision.
Sun J; Li C; Lu Z; He M; Zhao T; Li X; Gao L; Xie K; Lin T; Sui J; Xi Q; Zhang F; Ni X
Comput Methods Programs Biomed; 2022 Mar; 215():106600. PubMed ID: 34971855
[TBL] [Abstract][Full Text] [Related]
37. Diagnosis of cervical lymph node metastasis with thyroid carcinoma by deep learning application to CT images.
Wang T; Yan D; Liu Z; Xiao L; Liang C; Xin H; Feng M; Zhao Z; Wang Y
Front Oncol; 2023; 13():1099104. PubMed ID: 36776294
[TBL] [Abstract][Full Text] [Related]
38. 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]
39. The value of S-Detect in improving the diagnostic performance of radiologists for the differential diagnosis of thyroid nodules.
Wei Q; Zeng SE; Wang LP; Yan YJ; Wang T; Xu JW; Zhang MY; Lv WZ; Cui XW; Dietrich CF
Med Ultrason; 2020 Nov; 22(4):415-423. PubMed ID: 32905560
[TBL] [Abstract][Full Text] [Related]
40. The Value of Thyroid Ultrasound Computer-Aided Diagnosis System in the Evaluation of Thyroid Nodules With Concurrent Hashimoto's Thyroiditis.
Hu M; Zong S; Xu N; Li J; Xia C; Yu F; Zhu Q; Zhao H
J Ultrasound Med; 2022 May; 41(5):1117-1124. PubMed ID: 34382688
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]