459 related articles for article (PubMed ID: 31520984)
1. 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]
2. 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]
3. 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]
4. 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]
5. 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]
6. 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]
7. 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]
8. 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]
9. 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]
10. SK-Unet++: An improved Unet++ network with adaptive receptive fields for automatic segmentation of ultrasound thyroid nodule images.
Dai H; Xie W; Xia E
Med Phys; 2024 Mar; 51(3):1798-1811. PubMed ID: 37606374
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. 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]
13. A two-stage network with prior knowledge guidance for medullary thyroid carcinoma recognition in ultrasound images.
Pan L; Cai Y; Lin N; Yang L; Zheng S; Huang L
Med Phys; 2022 Apr; 49(4):2413-2426. PubMed ID: 35103313
[TBL] [Abstract][Full Text] [Related]
14. Automated thyroid nodule detection from ultrasound imaging using deep convolutional neural networks.
Abdolali F; Kapur J; Jaremko JL; Noga M; Hareendranathan AR; Punithakumar K
Comput Biol Med; 2020 Jul; 122():103871. PubMed ID: 32658741
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Knowledge-guided synthetic medical image adversarial augmentation for ultrasonography thyroid nodule classification.
Shi G; Wang J; Qiang Y; Yang X; Zhao J; Hao R; Yang W; Du Q; Kazihise NG
Comput Methods Programs Biomed; 2020 Nov; 196():105611. PubMed ID: 32650266
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. A pre-trained convolutional neural network based method for thyroid nodule diagnosis.
Ma J; Wu F; Zhu J; Xu D; Kong D
Ultrasonics; 2017 Jan; 73():221-230. PubMed ID: 27668999
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. 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]
[Next] [New Search]
