152 related articles for article (PubMed ID: 37116263)
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. 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]
23. Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists.
Rajpurkar P; Irvin J; Ball RL; Zhu K; Yang B; Mehta H; Duan T; Ding D; Bagul A; Langlotz CP; Patel BN; Yeom KW; Shpanskaya K; Blankenberg FG; Seekins J; Amrhein TJ; Mong DA; Halabi SS; Zucker EJ; Ng AY; Lungren MP
PLoS Med; 2018 Nov; 15(11):e1002686. PubMed ID: 30457988
[TBL] [Abstract][Full Text] [Related]
24. A generic deep learning framework to classify thyroid and breast lesions in ultrasound images.
Zhu YC; AlZoubi A; Jassim S; Jiang Q; Zhang Y; Wang YB; Ye XD; DU H
Ultrasonics; 2021 Feb; 110():106300. PubMed ID: 33232887
[TBL] [Abstract][Full Text] [Related]
25. A deep learning-based method for detecting and classifying the ultrasound images of suspicious thyroid nodules.
Zhao Z; Yang C; Wang Q; Zhang H; Shi L; Zhang Z
Med Phys; 2021 Dec; 48(12):7959-7970. PubMed ID: 34719057
[TBL] [Abstract][Full Text] [Related]
26. Ultrasound image analysis using deep learning algorithm for the diagnosis of thyroid nodules.
Song J; Chai YJ; Masuoka H; Park SW; Kim SJ; Choi JY; Kong HJ; Lee KE; Lee J; Kwak N; Yi KH; Miyauchi A
Medicine (Baltimore); 2019 Apr; 98(15):e15133. PubMed ID: 30985680
[TBL] [Abstract][Full Text] [Related]
27. 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]
28. 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]
29. 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]
30. Diagnosis of Thyroid Nodules Based on Image Enhancement and Deep Neural Networks.
Ma X; Zhang L
Comput Intell Neurosci; 2022; 2022():5582029. PubMed ID: 35211165
[TBL] [Abstract][Full Text] [Related]
31. 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]
32. 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]
33. Development and validation of an ultrasound-based nomogram to improve the diagnostic accuracy for malignant thyroid nodules.
Guo BL; Ouyang FS; Ouyang LZ; Liu ZW; Lin SJ; Meng W; Huang XY; Chen HX; Yang SM; Hu QG
Eur Radiol; 2019 Mar; 29(3):1518-1526. PubMed ID: 30209592
[TBL] [Abstract][Full Text] [Related]
34. Deep Learning-Based Segmentation of Nodules in Thyroid Ultrasound: Improving Performance by Utilizing Markers Present in the Images.
Buda M; Wildman-Tobriner B; Castor K; Hoang JK; Mazurowski MA
Ultrasound Med Biol; 2020 Feb; 46(2):415-421. PubMed ID: 31699547
[TBL] [Abstract][Full Text] [Related]
35. 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]
36. Investigation of optimal convolutional neural network conditions for thyroid ultrasound image analysis.
Lee JH; Kim YG; Ahn Y; Park S; Kong HJ; Choi JY; Kim K; Nam IC; Lee MC; Masuoka H; Miyauchi A; Kim S; Kim YA; Choe EK; Chai YJ
Sci Rep; 2023 Jan; 13(1):1360. PubMed ID: 36693894
[TBL] [Abstract][Full Text] [Related]
37. A comparison of artificial intelligence versus radiologists in the diagnosis of thyroid nodules using ultrasonography: a systematic review and meta-analysis.
Potipimpanon P; Charakorn N; Hirunwiwatkul P
Eur Arch Otorhinolaryngol; 2022 Nov; 279(11):5363-5373. PubMed ID: 35767056
[TBL] [Abstract][Full Text] [Related]
38. Cascade convolutional neural networks for automatic detection of thyroid nodules in ultrasound images.
Ma J; Wu F; Jiang T; Zhu J; Kong D
Med Phys; 2017 May; 44(5):1678-1691. PubMed ID: 28186630
[TBL] [Abstract][Full Text] [Related]
39. Thyroid Nodule Classification in Ultrasound Images by Fine-Tuning Deep Convolutional Neural Network.
Chi J; Walia E; Babyn P; Wang J; Groot G; Eramian M
J Digit Imaging; 2017 Aug; 30(4):477-486. PubMed ID: 28695342
[TBL] [Abstract][Full Text] [Related]
40. Ultrasonographic Thyroid Nodule Classification Using a Deep Convolutional Neural Network with Surgical Pathology.
Kwon SW; Choi IJ; Kang JY; Jang WI; Lee GH; Lee MC
J Digit Imaging; 2020 Oct; 33(5):1202-1208. PubMed ID: 32705433
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]