268 related articles for article (PubMed ID: 33409774)
21. Convolutional Neural Network for Breast and Thyroid Nodules Diagnosis in Ultrasound Imaging.
Liang X; Yu J; Liao J; Chen Z
Biomed Res Int; 2020; 2020():1763803. PubMed ID: 32420322
[TBL] [Abstract][Full Text] [Related]
22. 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]
23. Computerized analysis of calcification of thyroid nodules as visualized by ultrasonography.
Choi WJ; Park JS; Kim KG; Kim SY; Koo HR; Lee YJ
Eur J Radiol; 2015 Oct; 84(10):1949-53. PubMed ID: 26137902
[TBL] [Abstract][Full Text] [Related]
24. 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]
25. Thyroid Cancer Polygenic Risk Score Improves Classification of Thyroid Nodules as Benign or Malignant.
Pozdeyev N; Dighe M; Barrio M; Raeburn C; Smith H; Fisher M; Chavan S; Rafaels N; Shortt JA; Lin M; Leu MG; Clark T; Marshall C; Haugen BR; Subramanian D; Crooks K; Gignoux C; Cohen T
J Clin Endocrinol Metab; 2024 Jan; 109(2):402-412. PubMed ID: 37683082
[TBL] [Abstract][Full Text] [Related]
26. The value of a neural network based on multi-scale feature fusion to ultrasound images for the differentiation in thyroid follicular neoplasms.
Chen W; Ni X; Qian C; Yang L; Zhang Z; Li M; Kong F; Huang M; He M; Yin Y
BMC Med Imaging; 2024 Mar; 24(1):74. PubMed ID: 38539143
[TBL] [Abstract][Full Text] [Related]
27. 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]
28. 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]
29. Classification regularized dimensionality reduction improves ultrasound thyroid nodule diagnostic accuracy and inter-observer consistency.
Dai W; Cui Y; Wang P; Wu H; Zhang L; Bian Y; Li Y; Li Y; Hu H; Zhao J; Xu D; Kong D; Wang Y; Xu L
Comput Biol Med; 2023 Mar; 154():106536. PubMed ID: 36708654
[TBL] [Abstract][Full Text] [Related]
30. 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]
31. A Computer-Aided Diagnosis System Using Artificial Intelligence for the Diagnosis and Characterization of Thyroid Nodules on Ultrasound: Initial Clinical Assessment.
Choi YJ; Baek JH; Park HS; Shim WH; Kim TY; Shong YK; Lee JH
Thyroid; 2017 Apr; 27(4):546-552. PubMed ID: 28071987
[TBL] [Abstract][Full Text] [Related]
32. Computer-aided diagnosis for classifying benign versus malignant thyroid nodules based on ultrasound images: A comparison with radiologist-based assessments.
Chang Y; Paul AK; Kim N; Baek JH; Choi YJ; Ha EJ; Lee KD; Lee HS; Shin D; Kim N
Med Phys; 2016 Jan; 43(1):554. PubMed ID: 26745948
[TBL] [Abstract][Full Text] [Related]
33. 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]
34. Cascade and Fusion of Multitask Convolutional Neural Networks for Detection of Thyroid Nodules in Contrast-Enhanced CT.
Zhao Z; Ye C; Hu Y; Li C; Li X
Comput Intell Neurosci; 2019; 2019():7401235. PubMed ID: 31781181
[TBL] [Abstract][Full Text] [Related]
35. An effective convolutional neural network for classification of benign and malignant breast and thyroid tumors from ultrasound images.
Tian R; Yu M; Liao L; Zhang C; Zhao J; Sang L; Qian W; Wang Z; Huang L; Ma H
Phys Eng Sci Med; 2023 Sep; 46(3):995-1013. PubMed ID: 37195403
[TBL] [Abstract][Full Text] [Related]
36. Differentiation of the Follicular Neoplasm on the Gray-Scale US by Image Selection Subsampling along with the Marginal Outline Using Convolutional Neural Network.
Seo JK; Kim YJ; Kim KG; Shin I; Shin JH; Kwak JY
Biomed Res Int; 2017; 2017():3098293. PubMed ID: 29527533
[TBL] [Abstract][Full Text] [Related]
37. Comparative Study of Raw Ultrasound Data Representations in Deep Learning to Classify Hepatic Steatosis.
Sanabria SJ; Pirmoazen AM; Dahl J; Kamaya A; El Kaffas A
Ultrasound Med Biol; 2022 Oct; 48(10):2060-2078. PubMed ID: 35914993
[TBL] [Abstract][Full Text] [Related]
38. Thyroid Nodule Malignancy Risk Stratification Using a Convolutional Neural Network.
Stib MT; Pan I; Merck D; Middleton WD; Beland MD
Ultrasound Q; 2020 Jun; 36(2):164-172. PubMed ID: 32511208
[TBL] [Abstract][Full Text] [Related]
39. 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]
40. Blood leukocytes as a non-invasive diagnostic tool for thyroid nodules: a prospective cohort study.
Wang F; Zhao D; Xu WY; Liu Y; Sun H; Lu S; Ji Y; Jiang J; Chen Y; He Q; Gong C; Liu R; Su Z; Dong Y; Yan Z; Liu L
BMC Med; 2024 Apr; 22(1):147. PubMed ID: 38561764
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
