123 related articles for article (PubMed ID: 37992495)
1. A knowledge-interpretable multi-task learning framework for automated thyroid nodule diagnosis in ultrasound videos.
Wu X; Tan G; Luo H; Chen Z; Pu B; Li S; Li K
Med Image Anal; 2024 Jan; 91():103039. PubMed ID: 37992495
[TBL] [Abstract][Full Text] [Related]
2. Shape-margin knowledge augmented network for thyroid nodule segmentation and diagnosis.
Liu W; Lin C; Chen D; Niu L; Zhang R; Pi Z
Comput Methods Programs Biomed; 2024 Feb; 244():107999. PubMed ID: 38194766
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. 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]
6. Multitask network for thyroid nodule diagnosis based on TI-RADS.
Han X; Chang L; Song K; Cheng L; Li M; Wei X
Med Phys; 2022 Aug; 49(8):5064-5080. PubMed ID: 35608232
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. 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]
10. 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]
11. 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]
12. Cascade marker removal algorithm for thyroid ultrasound images.
Ying X; Zhang Y; Yu M; Wei X; Zhu J; Gao J; Liu Z; Shen H; Zhang R; Li X; Yu R
Med Biol Eng Comput; 2020 Nov; 58(11):2641-2656. PubMed ID: 32840765
[TBL] [Abstract][Full Text] [Related]
13. A computer-aided diagnosis system for the assessment and characterization of low-to-high suspicion thyroid nodules on ultrasound.
Gitto S; Grassi G; De Angelis C; Monaco CG; Sdao S; Sardanelli F; Sconfienza LM; Mauri G
Radiol Med; 2019 Feb; 124(2):118-125. PubMed ID: 30244368
[TBL] [Abstract][Full Text] [Related]
14. CacheTrack-YOLO: Real-Time Detection and Tracking for Thyroid Nodules and Surrounding Tissues in Ultrasound Videos.
Wu X; Tan G; Zhu N; Chen Z; Yang Y; Wen H; Li K
IEEE J Biomed Health Inform; 2021 Oct; 25(10):3812-3823. PubMed ID: 34057900
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Semi-Supervised Thyroid Nodule Detection in Ultrasound Videos.
Luo X; Li Z; Xu C; Zhang B; Zhang L; Zhu J; Huang P; Wang X; Yang M; Chang S
IEEE Trans Med Imaging; 2024 May; 43(5):1792-1803. PubMed ID: 38163305
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Quantitative Framework for Risk Stratification of Thyroid Nodules With Ultrasound: A Step Toward Automated Triage of Thyroid Cancer.
Galimzianova A; Siebert SM; Kamaya A; Rubin DL; Desser TS
AJR Am J Roentgenol; 2020 Apr; 214(4):885-892. PubMed ID: 31967504
[No Abstract] [Full Text] [Related]
19. 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]
20. Computer-aided system for diagnosing thyroid nodules on ultrasound: A comparison with radiologist-based clinical assessments.
Gao L; Liu R; Jiang Y; Song W; Wang Y; Liu J; Wang J; Wu D; Li S; Hao A; Zhang B
Head Neck; 2018 Apr; 40(4):778-783. PubMed ID: 29286180
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
