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 *

253 related articles for article (PubMed ID: 38720675)

  • 1. Ultrasound deep learning radiomics and clinical machine learning models to predict low nuclear grade, ER, PR, and HER2 receptor status in pure ductal carcinoma
    Zhu M; Kuang Y; Jiang Z; Liu J; Zhang H; Zhao H; Luo H; Chen Y; Peng Y
    Gland Surg; 2024 Apr; 13(4):512-527. PubMed ID: 38720675
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Deep learning radiomics model based on breast ultrasound video to predict HER2 expression status.
    Quan MY; Huang YX; Wang CY; Zhang Q; Chang C; Zhou SC
    Front Endocrinol (Lausanne); 2023; 14():1144812. PubMed ID: 37143737
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Sonography-based multimodal information platform for identifying the surgical pathology of ductal carcinoma in situ.
    Wu H; Jiang Y; Tian H; Ye X; Cui C; Shi S; Chen M; Ding Z; Li S; Huang Z; Luo Y; Peng Q; Xu J; Dong F
    Comput Methods Programs Biomed; 2024 Mar; 245():108039. PubMed ID: 38266556
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Development and Validation of an Ultrasound-Based Radiomics Nomogram for Identifying HER2 Status in Patients with Breast Carcinoma.
    Guo Y; Wu J; Wang Y; Jin Y
    Diagnostics (Basel); 2022 Dec; 12(12):. PubMed ID: 36553137
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Application of deep learning to identify ductal carcinoma
    Zhu M; Pi Y; Jiang Z; Wu Y; Bu H; Bao J; Chen Y; Zhao L; Peng Y
    Quant Imaging Med Surg; 2022 Sep; 12(9):4633-4646. PubMed ID: 36060588
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Preoperative ultrasound radiomics analysis for expression of multiple molecular biomarkers in mass type of breast ductal carcinoma in situ.
    Wu L; Zhao Y; Lin P; Qin H; Liu Y; Wan D; Li X; He Y; Yang H
    BMC Med Imaging; 2021 May; 21(1):84. PubMed ID: 34001017
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Development and validation of a clinicoradiomic nomogram to assess the HER2 status of patients with invasive ductal carcinoma.
    Xu A; Chu X; Zhang S; Zheng J; Shi D; Lv S; Li F; Weng X
    BMC Cancer; 2022 Aug; 22(1):872. PubMed ID: 35945526
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Deep-learning model to improve histological grading and predict upstaging of atypical ductal hyperplasia / ductal carcinoma in situ on breast biopsy.
    Huang CY; Chang RF; Lin CY; Hsieh MS; Liao PC; Wang YJ; Kao YC; Porta L; Lin PY; Lee CC; Lee YH
    Histopathology; 2024 May; 84(6):983-1002. PubMed ID: 38288642
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Exploring deep learning radiomics for classifying osteoporotic vertebral fractures in X-ray images.
    Zhang J; Xia L; Liu J; Niu X; Tang J; Xia J; Liu Y; Zhang W; Liang Z; Zhang X; Tang G; Zhang L
    Front Endocrinol (Lausanne); 2024; 15():1370838. PubMed ID: 38606087
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Feasibility analysis of magnetic resonance imaging-based radiomics features for preoperative prediction of nuclear grading of ductal carcinoma in situ.
    Zhao MR; Ma WJ; Song XC; Li ZJ; Shao ZZ; Lu H; Zhao R; Guo YJ; Ye ZX; Liu PF
    Gland Surg; 2023 Sep; 12(9):1209-1223. PubMed ID: 37842532
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Ultrasound-based radiomics model for predicting molecular biomarkers in breast cancer.
    Xu R; You T; Liu C; Lin Q; Guo Q; Zhong G; Liu L; Ouyang Q
    Front Oncol; 2023; 13():1216446. PubMed ID: 37583930
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Predicting the risk stratification of gastrointestinal stromal tumors using machine learning-based ultrasound radiomics.
    Zhuo M; Tang Y; Guo J; Qian Q; Xue E; Chen Z
    J Med Ultrason (2001); 2024 Jan; 51(1):71-82. PubMed ID: 37798591
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Concomitant Prediction of the Ki67 and PIT-1 Expression in Pituitary Adenoma Using Different Radiomics Models.
    Liu F; Zang Y; Feng L; Shi X; Wu W; Liu X; Song Y; Xu J; Gui S; Chen X
    J Imaging Inform Med; 2024 May; ():. PubMed ID: 38750186
    [TBL] [Abstract][Full Text] [Related]  

  • 14. [Development of a grading diagnostic model for schistosomiasis-induced liver fibrosis based on radiomics and clinical laboratory indicators].
    Guo Z; Shao J; Zou X; Zhao Q; Qian P; Wang W; Huang L; Xue J; Xu J; Yang K; Zhou X; Li S
    Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi; 2024 Jun; 36(3):251-258. PubMed ID: 38952311
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Non-Contrasted CT Radiomics for SAH Prognosis Prediction.
    Shan D; Wang J; Qi P; Lu J; Wang D
    Bioengineering (Basel); 2023 Aug; 10(8):. PubMed ID: 37627852
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Predicting underestimation of ductal carcinoma in situ: a comparison between radiomics and conventional approaches.
    Li J; Song Y; Xu S; Wang J; Huang H; Ma W; Jiang X; Wu Y; Cai H; Li L
    Int J Comput Assist Radiol Surg; 2019 Apr; 14(4):709-721. PubMed ID: 30569330
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Diagnostic Performance of 2D and 3D T2WI-Based Radiomics Features With Machine Learning Algorithms to Distinguish Solid Solitary Pulmonary Lesion.
    Wan Q; Zhou J; Xia X; Hu J; Wang P; Peng Y; Zhang T; Sun J; Song Y; Yang G; Li X
    Front Oncol; 2021; 11():683587. PubMed ID: 34868905
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Differentiation of benign and malignant parotid gland tumors based on the fusion of radiomics and deep learning features on ultrasound images.
    Wang Y; Gao J; Yin Z; Wen Y; Sun M; Han R
    Front Oncol; 2024; 14():1384105. PubMed ID: 38803533
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Development and validation of an ultrasound-based deep learning radiomics nomogram for predicting the malignant risk of ovarian tumours.
    Du Y; Xiao Y; Guo W; Yao J; Lan T; Li S; Wen H; Zhu W; He G; Zheng H; Chen H
    Biomed Eng Online; 2024 Apr; 23(1):41. PubMed ID: 38594729
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A computed tomography urography-based machine learning model for predicting preoperative pathological grade of upper urinary tract urothelial carcinoma.
    Zheng Y; Shi H; Fu S; Wang H; Wang J; Li X; Li Z; Hai B; Zhang J
    Cancer Med; 2024 Jan; 13(1):. PubMed ID: 38174830
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.