These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

145 related articles for article (PubMed ID: 33404698)

  • 1. One step further into the blackbox: a pilot study of how to build more confidence around an AI-based decision system of breast nodule assessment in 2D ultrasound.
    Dong F; She R; Cui C; Shi S; Hu X; Zeng J; Wu H; Xu J; Zhang Y
    Eur Radiol; 2021 Jul; 31(7):4991-5000. PubMed ID: 33404698
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Application of deep learning to establish a diagnostic model of breast lesions using two-dimensional grayscale ultrasound imaging.
    Zhang N; Li XT; Ma L; Fan ZQ; Sun YS
    Clin Imaging; 2021 Nov; 79():56-63. PubMed ID: 33887507
    [TBL] [Abstract][Full Text] [Related]  

  • 3. An artificial intelligence system using maximum intensity projection MR images facilitates classification of non-mass enhancement breast lesions.
    Wang L; Chang L; Luo R; Cui X; Liu H; Wu H; Chen Y; Zhang Y; Wu C; Li F; Liu H; Guan W; Wang D
    Eur Radiol; 2022 Jul; 32(7):4857-4867. PubMed ID: 35258676
    [TBL] [Abstract][Full Text] [Related]  

  • 4. How much can AI see in early pregnancy: A multi-center study of fetus head characterization in week 10-14 in ultrasound using deep learning.
    Lin Q; Zhou Y; Shi S; Zhang Y; Yin S; Liu X; Peng Q; Huang S; Jiang Y; Cui C; She R; Xu J; Dong F
    Comput Methods Programs Biomed; 2022 Nov; 226():107170. PubMed ID: 36272307
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Development of a Deep Learning-Based Model for Diagnosing Breast Nodules With Ultrasound.
    Li J; Bu Y; Lu S; Pang H; Luo C; Liu Y; Qian L
    J Ultrasound Med; 2021 Mar; 40(3):513-520. PubMed ID: 32770574
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A Fusion-Based Approach for Breast Ultrasound Image Classification Using Multiple-ROI Texture and Morphological Analyses.
    Daoud MI; Bdair TM; Al-Najar M; Alazrai R
    Comput Math Methods Med; 2016; 2016():6740956. PubMed ID: 28127383
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 3D quantitative breast ultrasound analysis for differentiating fibroadenomas and carcinomas smaller than 1cm.
    Meel-van den Abeelen AS; Weijers G; van Zelst JC; Thijssen JM; Mann RM; de Korte CL
    Eur J Radiol; 2017 Mar; 88():141-147. PubMed ID: 28189199
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Diagnostic performance of perilesional radiomics analysis of contrast-enhanced mammography for the differentiation of benign and malignant breast lesions.
    Wang S; Sun Y; Li R; Mao N; Li Q; Jiang T; Chen Q; Duan S; Xie H; Gu Y
    Eur Radiol; 2022 Jan; 32(1):639-649. PubMed ID: 34189600
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Should We Ignore, Follow, or Biopsy? Impact of Artificial Intelligence Decision Support on Breast Ultrasound Lesion Assessment.
    Mango VL; Sun M; Wynn RT; Ha R
    AJR Am J Roentgenol; 2020 Jun; 214(6):1445-1452. PubMed ID: 32319794
    [No Abstract]   [Full Text] [Related]  

  • 10. Impact of radiomics on the breast ultrasound radiologist's clinical practice: From lumpologist to data wrangler.
    Fleury EFC; Marcomini K
    Eur J Radiol; 2020 Oct; 131():109197. PubMed ID: 32795725
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Detection of Breast Cancer with Mammography: Effect of an Artificial Intelligence Support System.
    Rodríguez-Ruiz A; Krupinski E; Mordang JJ; Schilling K; Heywang-Köbrunner SH; Sechopoulos I; Mann RM
    Radiology; 2019 Feb; 290(2):305-314. PubMed ID: 30457482
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Differential diagnosis of breast cancer assisted by S-Detect artificial intelligence system.
    Xia Q; Cheng Y; Hu J; Huang J; Yu Y; Xie H; Wang J
    Math Biosci Eng; 2021 Apr; 18(4):3680-3689. PubMed ID: 34198406
    [TBL] [Abstract][Full Text] [Related]  

  • 13. The importance of multi-modal imaging and clinical information for humans and AI-based algorithms to classify breast masses (INSPiRED 003): an international, multicenter analysis.
    Pfob A; Sidey-Gibbons C; Barr RG; Duda V; Alwafai Z; Balleyguier C; Clevert DA; Fastner S; Gomez C; Goncalo M; Gruber I; Hahn M; Hennigs A; Kapetas P; Lu SC; Nees J; Ohlinger R; Riedel F; Rutten M; Schaefgen B; Schuessler M; Stieber A; Togawa R; Tozaki M; Wojcinski S; Xu C; Rauch G; Heil J; Golatta M
    Eur Radiol; 2022 Jun; 32(6):4101-4115. PubMed ID: 35175381
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Artificial intelligence for non-mass breast lesions detection and classification on ultrasound images: a comparative study.
    Li G; Tian H; Wu H; Huang Z; Yang K; Li J; Luo Y; Shi S; Cui C; Xu J; Dong F
    BMC Med Inform Decis Mak; 2023 Sep; 23(1):174. PubMed ID: 37667320
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Establishment of a deep-learning system to diagnose BI-RADS4a or higher using breast ultrasound for clinical application.
    Hayashida T; Odani E; Kikuchi M; Nagayama A; Seki T; Takahashi M; Futatsugi N; Matsumoto A; Murata T; Watanuki R; Yokoe T; Nakashoji A; Maeda H; Onishi T; Asaga S; Hojo T; Jinno H; Sotome K; Matsui A; Suto A; Imoto S; Kitagawa Y
    Cancer Sci; 2022 Oct; 113(10):3528-3534. PubMed ID: 35880248
    [TBL] [Abstract][Full Text] [Related]  

  • 16. An experimental study on breast lesion detection and classification from ultrasound images using deep learning architectures.
    Cao Z; Duan L; Yang G; Yue T; Chen Q
    BMC Med Imaging; 2019 Jul; 19(1):51. PubMed ID: 31262255
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Artificial Intelligence Applied to Breast MRI for Improved Diagnosis.
    Jiang Y; Edwards AV; Newstead GM
    Radiology; 2021 Jan; 298(1):38-46. PubMed ID: 33078996
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams.
    Shen Y; Shamout FE; Oliver JR; Witowski J; Kannan K; Park J; Wu N; Huddleston C; Wolfson S; Millet A; Ehrenpreis R; Awal D; Tyma C; Samreen N; Gao Y; Chhor C; Gandhi S; Lee C; Kumari-Subaiya S; Leonard C; Mohammed R; Moczulski C; Altabet J; Babb J; Lewin A; Reig B; Moy L; Heacock L; Geras KJ
    Nat Commun; 2021 Sep; 12(1):5645. PubMed ID: 34561440
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Comparison of 3D and 2D shear-wave elastography for differentiating benign and malignant breast masses: focus on the diagnostic performance.
    Choi HY; Sohn YM; Seo M
    Clin Radiol; 2017 Oct; 72(10):878-886. PubMed ID: 28526455
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Automatic classification of ultrasound breast lesions using a deep convolutional neural network mimicking human decision-making.
    Ciritsis A; Rossi C; Eberhard M; Marcon M; Becker AS; Boss A
    Eur Radiol; 2019 Oct; 29(10):5458-5468. PubMed ID: 30927100
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.