BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

575 related articles for article (PubMed ID: 33766289)

  • 21. The auxiliary diagnosis of thyroid echogenic foci based on a deep learning segmentation model: A two-center study.
    Liu Y; Chen C; Wang K; Zhang M; Yan Y; Sui L; Yao J; Zhu X; Wang H; Pan Q; Wang Y; Liang P; Xu D
    Eur J Radiol; 2023 Oct; 167():111033. PubMed ID: 37595399
    [TBL] [Abstract][Full Text] [Related]  

  • 22. 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]  

  • 23. Accurate classification of pulmonary nodules by a combined model of clinical, imaging, and cell-free DNA methylation biomarkers: a model development and external validation study.
    He J; Wang B; Tao J; Liu Q; Peng M; Xiong S; Li J; Cheng B; Li C; Jiang S; Qiu X; Yang Y; Ye Z; Zeng F; Zhang J; Liu D; Li W; Chen Z; Zeng Q; Fan JB; Liang W
    Lancet Digit Health; 2023 Oct; 5(10):e647-e656. PubMed ID: 37567793
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Clinical value of artificial intelligence in thyroid ultrasound: a prospective study from the real world.
    Li Y; Liu Y; Xiao J; Yan L; Yang Z; Li X; Zhang M; Luo Y
    Eur Radiol; 2023 Jul; 33(7):4513-4523. PubMed ID: 36622410
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer with multitask deep learning: a retrospective study.
    Jiang Y; Zhang Z; Yuan Q; Wang W; Wang H; Li T; Huang W; Xie J; Chen C; Sun Z; Yu J; Xu Y; Poultsides GA; Xing L; Zhou Z; Li G; Li R
    Lancet Digit Health; 2022 May; 4(5):e340-e350. PubMed ID: 35461691
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet.
    Bien N; Rajpurkar P; Ball RL; Irvin J; Park A; Jones E; Bereket M; Patel BN; Yeom KW; Shpanskaya K; Halabi S; Zucker E; Fanton G; Amanatullah DF; Beaulieu CF; Riley GM; Stewart RJ; Blankenberg FG; Larson DB; Jones RH; Langlotz CP; Ng AY; Lungren MP
    PLoS Med; 2018 Nov; 15(11):e1002699. PubMed ID: 30481176
    [TBL] [Abstract][Full Text] [Related]  

  • 27. A deep-learning system predicts glaucoma incidence and progression using retinal photographs.
    Li F; Su Y; Lin F; Li Z; Song Y; Nie S; Xu J; Chen L; Chen S; Li H; Xue K; Che H; Chen Z; Yang B; Zhang H; Ge M; Zhong W; Yang C; Chen L; Wang F; Jia Y; Li W; Wu Y; Li Y; Gao Y; Zhou Y; Zhang K; Zhang X
    J Clin Invest; 2022 Jun; 132(11):. PubMed ID: 35642636
    [TBL] [Abstract][Full Text] [Related]  

  • 28. 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]  

  • 29. 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]  

  • 30. Accuracy of Ultrasound Diagnosis of Thyroid Nodules Based on Artificial Intelligence-Assisted Diagnostic Technology: A Systematic Review and Meta-Analysis.
    Xue Y; Zhou Y; Wang T; Chen H; Wu L; Ling H; Wang H; Qiu L; Ye D; Wang B
    Int J Endocrinol; 2022; 2022():9492056. PubMed ID: 36193283
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Application of Artificial Intelligence Computer-Assisted Diagnosis Originally Developed for Thyroid Nodules to Breast Lesions on Ultrasound.
    Lee SE; Lee E; Kim EK; Yoon JH; Park VY; Youk JH; Kwak JY
    J Digit Imaging; 2022 Dec; 35(6):1699-1707. PubMed ID: 35902445
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Development of a Deep Learning Model to Identify Lymph Node Metastasis on Magnetic Resonance Imaging in Patients With Cervical Cancer.
    Wu Q; Wang S; Zhang S; Wang M; Ding Y; Fang J; Wu Q; Qian W; Liu Z; Sun K; Jin Y; Ma H; Tian J
    JAMA Netw Open; 2020 Jul; 3(7):e2011625. PubMed ID: 32706384
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Visual Interpretability in Computer-Assisted Diagnosis of Thyroid Nodules Using Ultrasound Images.
    Wei X; Zhu J; Zhang H; Gao H; Yu R; Liu Z; Zheng X; Gao M; Zhang S
    Med Sci Monit; 2020 Aug; 26():e927007. PubMed ID: 32798214
    [TBL] [Abstract][Full Text] [Related]  

  • 34. 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]  

  • 35. Application of deep learning to the diagnosis of cervical lymph node metastasis from thyroid cancer with CT: external validation and clinical utility for resident training.
    Lee JH; Ha EJ; Kim D; Jung YJ; Heo S; Jang YH; An SH; Lee K
    Eur Radiol; 2020 Jun; 30(6):3066-3072. PubMed ID: 32065285
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Ensemble Deep Learning Model for Multicenter Classification of Thyroid Nodules on Ultrasound Images.
    Wei X; Gao M; Yu R; Liu Z; Gu Q; Liu X; Zheng Z; Zheng X; Zhu J; Zhang S
    Med Sci Monit; 2020 Jun; 26():e926096. PubMed ID: 32555130
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Using Artificial Intelligence to Revise ACR TI-RADS Risk Stratification of Thyroid Nodules: Diagnostic Accuracy and Utility.
    Wildman-Tobriner B; Buda M; Hoang JK; Middleton WD; Thayer D; Short RG; Tessler FN; Mazurowski MA
    Radiology; 2019 Jul; 292(1):112-119. PubMed ID: 31112088
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Comparison of Chest Radiograph Interpretations by Artificial Intelligence Algorithm vs Radiology Residents.
    Wu JT; Wong KCL; Gur Y; Ansari N; Karargyris A; Sharma A; Morris M; Saboury B; Ahmad H; Boyko O; Syed A; Jadhav A; Wang H; Pillai A; Kashyap S; Moradi M; Syeda-Mahmood T
    JAMA Netw Open; 2020 Oct; 3(10):e2022779. PubMed ID: 33034642
    [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. 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]  

    [Previous]   [Next]    [New Search]
    of 29.