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 *

195 related articles for article (PubMed ID: 39060962)

  • 1. Ultrasound-based deep learning radiomics nomogram for differentiating mass mastitis from invasive breast cancer.
    Wu L; Li S; Wu C; Wu S; Lin Y; Wei D
    BMC Med Imaging; 2024 Jul; 24(1):189. PubMed ID: 39060962
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Ultrasound-Based Deep Learning Radiomics Nomogram for the Assessment of Lymphovascular Invasion in Invasive Breast Cancer: A Multicenter Study.
    Zhang D; Zhou W; Lu WW; Qin XC; Zhang XY; Wang JL; Wu J; Luo YH; Duan YY; Zhang CX
    Acad Radiol; 2024 Oct; 31(10):3917-3928. PubMed ID: 38658211
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Constructing a Deep Learning Radiomics Model Based on X-ray Images and Clinical Data for Predicting and Distinguishing Acute and Chronic Osteoporotic Vertebral Fractures: A Multicenter Study.
    Zhang J; Xia L; Tang J; Xia J; Liu Y; Zhang W; Liu J; Liang Z; Zhang X; Zhang L; Tang G
    Acad Radiol; 2024 May; 31(5):2011-2026. PubMed ID: 38016821
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Deep Learning Radiomics Nomogram Based on Magnetic Resonance Imaging for Differentiating Type I/II Epithelial Ovarian Cancer.
    Wei M; Feng G; Wang X; Jia J; Zhang Y; Dai Y; Qin C; Bai G; Chen S
    Acad Radiol; 2024 Jun; 31(6):2391-2401. PubMed ID: 37643927
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Ultrasound-based deep learning radiomics in the assessment of pathological complete response to neoadjuvant chemotherapy in locally advanced breast cancer.
    Jiang M; Li CL; Luo XM; Chuan ZR; Lv WZ; Li X; Cui XW; Dietrich CF
    Eur J Cancer; 2021 Apr; 147():95-105. PubMed ID: 33639324
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Deep Learning Radiomics Nomogram Based on Multiphase Computed Tomography for Predicting Axillary Lymph Node Metastasis in Breast Cancer.
    Zhang J; Yin W; Yang L; Yao X
    Mol Imaging Biol; 2024 Feb; 26(1):90-100. PubMed ID: 37563517
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Multimodality deep learning radiomics nomogram for preoperative prediction of malignancy of breast cancer: a multicenter study.
    Wu P; Jiang Y; Xing H; Song W; Cui X; Wu XL; Xu G
    Phys Med Biol; 2023 Aug; 68(17):. PubMed ID: 37524093
    [No Abstract]   [Full Text] [Related]  

  • 8. A CT-based deep learning radiomics nomogram for predicting the response to neoadjuvant chemotherapy in patients with locally advanced gastric cancer: A multicenter cohort study.
    Cui Y; Zhang J; Li Z; Wei K; Lei Y; Ren J; Wu L; Shi Z; Meng X; Yang X; Gao X
    EClinicalMedicine; 2022 Apr; 46():101348. PubMed ID: 35340629
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Prediction of Axillary Lymph Node Metastatic Load of Breast Cancer Based on Ultrasound Deep Learning Radiomics Nomogram.
    Zhang H; Zhao T; Zhang S; Sun J; Zhang F; Li X; Ni X
    Technol Cancer Res Treat; 2023; 22():15330338231166218. PubMed ID: 36987661
    [No Abstract]   [Full Text] [Related]  

  • 10. Ultrasound images-based deep learning radiomics nomogram for preoperative prediction of
    Yu J; Zhang Y; Zheng J; Jia M; Lu X
    Front Endocrinol (Lausanne); 2022; 13():1062571. PubMed ID: 36605945
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Development and validation of a deep learning radiomics nomogram for preoperatively differentiating thymic epithelial tumor histologic subtypes.
    Chen X; Feng B; Xu K; Chen Y; Duan X; Jin Z; Li K; Li R; Long W; Liu X
    Eur Radiol; 2023 Oct; 33(10):6804-6816. PubMed ID: 37148352
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Prediction of recurrence risk factors in patients with early-stage cervical cancers by nomogram based on MRI handcrafted radiomics features and deep learning features: a dual-center study.
    Zhang Y; Wu C; Du J; Xiao Z; Lv F; Liu Y
    Abdom Radiol (NY); 2024 Jan; 49(1):258-270. PubMed ID: 37987856
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Lymph node metastasis prediction and biological pathway associations underlying DCE-MRI deep learning radiomics in invasive breast cancer.
    Liu W; Chen W; Xia J; Lu Z; Fu Y; Li Y; Tan Z
    BMC Med Imaging; 2024 Apr; 24(1):91. PubMed ID: 38627678
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Multi-feature Fusion Network on Gray Scale Ultrasonography: Effective Differentiation of Adenolymphoma and Pleomorphic Adenoma.
    Mao Y; Jiang LP; Wang JL; Diao YH; Chen FQ; Zhang WP; Chen L; Liu ZX
    Acad Radiol; 2024 Nov; 31(11):4396-4407. PubMed ID: 38871552
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Prediction of lymphovascular invasion in invasive breast cancer based on clinical-MRI radiomics features.
    Zhang C; Zhou P; Li R; Li Z; Ouyang A
    BMC Med Imaging; 2024 Oct; 24(1):277. PubMed ID: 39415127
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Ultrasound radiomics-based nomogram to predict lymphovascular invasion in invasive breast cancer: a multicenter, retrospective study.
    Du Y; Cai M; Zha H; Chen B; Gu J; Zhang M; Liu W; Liu X; Liu X; Zong M; Li C
    Eur Radiol; 2024 Jan; 34(1):136-148. PubMed ID: 37518678
    [TBL] [Abstract][Full Text] [Related]  

  • 17. CT-based deep learning radiomics nomogram for the prediction of pathological grade in bladder cancer: a multicenter study.
    Song H; Yang S; Yu B; Li N; Huang Y; Sun R; Wang B; Nie P; Hou F; Huang C; Zhang M; Wang H
    Cancer Imaging; 2023 Sep; 23(1):89. PubMed ID: 37723572
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Deep learning radiomics of ultrasonography for comprehensively predicting tumor and axillary lymph node status after neoadjuvant chemotherapy in breast cancer patients: A multicenter study.
    Gu J; Tong T; Xu D; Cheng F; Fang C; He C; Wang J; Wang B; Yang X; Wang K; Tian J; Jiang T
    Cancer; 2023 Feb; 129(3):356-366. PubMed ID: 36401611
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deep learning-based radiomic nomogram to predict risk categorization of thymic epithelial tumors: A multicenter study.
    Zhou H; Bai HX; Jiao Z; Cui B; Wu J; Zheng H; Yang H; Liao W
    Eur J Radiol; 2023 Nov; 168():111136. PubMed ID: 37832194
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Deep learning radiomics-based prediction model of metachronous distant metastasis following curative resection for retroperitoneal leiomyosarcoma: a bicentric study.
    Tian Z; Cheng Y; Zhao S; Li R; Zhou J; Sun Q; Wang D
    Cancer Imaging; 2024 Apr; 24(1):52. PubMed ID: 38627828
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.