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 *

125 related articles for article (PubMed ID: 38494415)

  • 1. Biopsy or Follow-up: AI Improves the Clinical Strategy of US BI-RADS 4A Breast Nodules Using a Convolutional Neural Network.
    Yi M; Lin Y; Lin Z; Xu Z; Li L; Huang R; Huang W; Wang N; Zuo Y; Li N; Ni D; Zhang Y; Li Y
    Clin Breast Cancer; 2024 Jul; 24(5):e319-e332.e2. PubMed ID: 38494415
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Ultrasound-based deep learning in the establishment of a breast lesion risk stratification system: a multicenter study.
    Gu Y; Xu W; Liu T; An X; Tian J; Ran H; Ren W; Chang C; Yuan J; Kang C; Deng Y; Wang H; Luo B; Guo S; Zhou Q; Xue E; Zhan W; Zhou Q; Li J; Zhou P; Chen M; Gu Y; Chen W; Zhang Y; Li J; Cong L; Zhu L; Wang H; Jiang Y
    Eur Radiol; 2023 Apr; 33(4):2954-2964. PubMed ID: 36418619
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Deep learning combining mammography and ultrasound images to predict the malignancy of BI-RADS US 4A lesions in women with dense breasts: a diagnostic study.
    Yang Y; Zhong Y; Li J; Feng J; Gong C; Yu Y; Hu Y; Gu R; Wang H; Liu F; Mei J; Jiang X; Wang J; Yao Q; Wu W; Liu Q; Yao H
    Int J Surg; 2024 May; 110(5):2604-2613. PubMed ID: 38348891
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. A bimodal nomogram as an adjunct tool to reduce unnecessary breast biopsy following discordant ultrasonic and mammographic BI-RADS assessment.
    Xu Z; Lin Y; Huo J; Gao Y; Lu J; Liang Y; Li L; Jiang Z; Du L; Lang T; Wen G; Li Y
    Eur Radiol; 2024 Apr; 34(4):2608-2618. PubMed ID: 37840099
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Application of Deep Learning to Reduce the Rate of Malignancy Among BI-RADS 4A Breast Lesions Based on Ultrasonography.
    Zhao Z; Hou S; Li S; Sheng D; Liu Q; Chang C; Chen J; Li J
    Ultrasound Med Biol; 2022 Nov; 48(11):2267-2275. PubMed ID: 36055860
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Predicting Breast Cancer in Breast Imaging Reporting and Data System (BI-RADS) Ultrasound Category 4 or 5 Lesions: A Nomogram Combining Radiomics and BI-RADS.
    Luo WQ; Huang QX; Huang XW; Hu HT; Zeng FQ; Wang W
    Sci Rep; 2019 Aug; 9(1):11921. PubMed ID: 31417138
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Deep learning-based computer-aided diagnosis in screening breast ultrasound to reduce false-positive diagnoses.
    Kim S-; Choi Y; Kim E-; Han BK; Yoon JH; Choi JS; Chang JM
    Sci Rep; 2021 Jan; 11(1):395. PubMed ID: 33432076
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Photoacoustic Imaging Radiomics to Identify Breast Cancer in BI-RADS 4 or 5 Lesions.
    Li G; Huang Z; Luo H; Tian H; Ding Z; Deng Y; Xu J; Wu H; Dong F
    Clin Breast Cancer; 2024 Jul; 24(5):e379-e388.e1. PubMed ID: 38548517
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A Nomogram for Enhancing the Diagnostic Effectiveness of Solid Breast BI-RADS 3-5 Masses to Determine Malignancy Based on Imaging Aspects of Conventional Ultrasonography and Contrast-Enhanced Ultrasound.
    Yan M; Peng C; He D; Xu D; Yang C
    Clin Breast Cancer; 2023 Oct; 23(7):693-703. PubMed ID: 37394416
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Weakly-supervised deep learning for ultrasound diagnosis of breast cancer.
    Kim J; Kim HJ; Kim C; Lee JH; Kim KW; Park YM; Kim HW; Ki SY; Kim YM; Kim WH
    Sci Rep; 2021 Dec; 11(1):24382. PubMed ID: 34934144
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Automatic Breast Volume Scanner and B-Ultrasound-Based Radiomics Nomogram for Clinician Management of BI-RADS 4A Lesions.
    Ma Q; Wang J; Xu D; Zhu C; Qin J; Wu Y; Gao Y; Zhang C
    Acad Radiol; 2023 Aug; 30(8):1628-1637. PubMed ID: 36456445
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Utility of Second-look Ultrasonography in Distinguishing BI-RADS 4 Calcifications Detected on Mammography: An observational study.
    Cheng S; Zhu L; Lin N; He M; Yu Y; Lin M; Zhang H
    Medicine (Baltimore); 2024 Jul; 103(28):e38841. PubMed ID: 38996136
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deep Learning-Based Computer-Aided Diagnosis for Breast Lesion Classification on Ultrasound: A Prospective Multicenter Study of Radiologists Without Breast Ultrasound Expertise.
    He P; Chen W; Bai MY; Li J; Wang QQ; Fan LH; Zheng J; Liu CT; Zhang XR; Yuan XR; Song PJ; Cui LG
    AJR Am J Roentgenol; 2023 Oct; 221(4):450-459. PubMed ID: 37222275
    [No Abstract]   [Full Text] [Related]  

  • 15. Artificial intelligence for ultrasound microflow imaging in breast cancer diagnosis.
    Eun NL; Lee E; Park AY; Son EJ; Kim JA; Youk JH
    Ultraschall Med; 2024 Aug; 45(4):412-417. PubMed ID: 38593859
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Reducing the number of unnecessary biopsies of US-BI-RADS 4a lesions through a deep learning method for residents-in-training: a cross-sectional study.
    Zhao C; Xiao M; Liu H; Wang M; Wang H; Zhang J; Jiang Y; Zhu Q
    BMJ Open; 2020 Jun; 10(6):e035757. PubMed ID: 32513885
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A deep learning model integrating mammography and clinical factors facilitates the malignancy prediction of BI-RADS 4 microcalcifications in breast cancer screening.
    Liu H; Chen Y; Zhang Y; Wang L; Luo R; Wu H; Wu C; Zhang H; Tan W; Yin H; Wang D
    Eur Radiol; 2021 Aug; 31(8):5902-5912. PubMed ID: 33496829
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A combined ultrasonic B-mode and color Doppler system for the classification of breast masses using neural network.
    Qian X; Zhang B; Liu S; Wang Y; Chen X; Liu J; Yang Y; Chen X; Wei Y; Xiao Q; Ma J; Shung KK; Zhou Q; Liu L; Chen Z
    Eur Radiol; 2020 May; 30(5):3023-3033. PubMed ID: 32006174
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Diagnosis of sub-centimetre breast lesions: combining BI-RADS-US with strain elastography and contrast-enhanced ultrasound-a preliminary study in China.
    Xiao X; Jiang Q; Wu H; Guan X; Qin W; Luo B
    Eur Radiol; 2017 Jun; 27(6):2443-2450. PubMed ID: 27761708
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Combining Potential Strain Elastography and Radiomics for Diagnosing Breast Lesions in BI-RADS 4: Construction and Validation a Predictive Nomogram.
    Zha H; Wu T; Zhang M; Cai M; Diao X; Li F; Wu R; Du Y
    Acad Radiol; 2024 Aug; 31(8):3106-3116. PubMed ID: 38378324
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.