BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

229 related articles for article (PubMed ID: 38316655)

  • 1. Deep learning algorithm-based multimodal MRI radiomics and pathomics data improve prediction of bone metastases in primary prostate cancer.
    Zhang YF; Zhou C; Guo S; Wang C; Yang J; Yang ZJ; Wang R; Zhang X; Zhou FH
    J Cancer Res Clin Oncol; 2024 Feb; 150(2):78. PubMed ID: 38316655
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Multimodal data integration for predicting progression risk in castration-resistant prostate cancer using deep learning: a multicenter retrospective study.
    Zhou C; Zhang YF; Guo S; Huang YQ; Qiao XN; Wang R; Zhao LP; Chang DH; Zhao LM; Da MX; Zhou FH
    Front Oncol; 2024; 14():1287995. PubMed ID: 38549937
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Development and Validation of Contrast-Enhanced CT-Based Deep Transfer Learning and Combined Clinical-Radiomics Model to Discriminate Thymomas and Thymic Cysts: A Multicenter Study.
    Yang Y; Cheng J; Peng Z; Yi L; Lin Z; He A; Jin M; Cui C; Liu Y; Zhong Q; Zuo M
    Acad Radiol; 2024 Apr; 31(4):1615-1628. PubMed ID: 37949702
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. A Radiomics nomogram for predicting bone metastasis in newly diagnosed prostate cancer patients.
    Zhang W; Mao N; Wang Y; Xie H; Duan S; Zhang X; Wang B
    Eur J Radiol; 2020 Jul; 128():109020. PubMed ID: 32371181
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A machine learning radiomics model based on bpMRI to predict bone metastasis in newly diagnosed prostate cancer patients.
    Xinyang S; Shuang Z; Tianci S; Xiangyu H; Yangyang W; Mengying D; Jingran Z; Feng Y
    Magn Reson Imaging; 2024 Apr; 107():15-23. PubMed ID: 38181835
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A comprehensive radiopathological nomogram for the prediction of pathological staging in gastric cancer using CT-derived and WSI-based features.
    Tan Y; Feng LJ; Huang YH; Xue JW; Long LL; Feng ZB
    Transl Oncol; 2024 Feb; 40():101864. PubMed ID: 38141376
    [TBL] [Abstract][Full Text] [Related]  

  • 8. [Application of MRI-based Radiomics Models in the Assessment of Hepatic Metastasis of Rectal Cancer].
    Hu SX; Yang K; Wang XR; Wen DG; Xia CC; Li X; Li ZL
    Sichuan Da Xue Xue Bao Yi Xue Ban; 2021 Mar; 52(2):311-318. PubMed ID: 33829708
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Automated Prediction of Early Recurrence in Advanced Sinonasal Squamous Cell Carcinoma With Deep Learning and Multi-parametric MRI-based Radiomics Nomogram.
    Lin M; Lin N; Yu S; Sha Y; Zeng Y; Liu A; Niu Y
    Acad Radiol; 2023 Oct; 30(10):2201-2211. PubMed ID: 36925335
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Prediction of pelvic lymph node metastasis in prostate cancer using radiomics based on T
    Liu X; Zhang Y; Sun Z; Wang X; Zhang X; Wang X
    Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2022 Aug; 47(8):1025-1036. PubMed ID: 36097770
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Differentiation of acute and chronic vertebral compression fractures using conventional CT based on deep transfer learning features and hand-crafted radiomics features.
    Zhang J; Liu J; Liang Z; Xia L; Zhang W; Xing Y; Zhang X; Tang G
    BMC Musculoskelet Disord; 2023 Mar; 24(1):165. PubMed ID: 36879285
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Predicting N2 lymph node metastasis in presurgical stage I-II non-small cell lung cancer using multiview radiomics and deep learning method.
    Zhang H; Liao M; Guo Q; Chen J; Wang S; Liu S; Xiao F
    Med Phys; 2023 Apr; 50(4):2049-2060. PubMed ID: 36563341
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Deep-learning-based radiomics of intratumoral and peritumoral MRI images to predict the pathological features of adjuvant radiotherapy in early-stage cervical squamous cell carcinoma.
    Zhang XF; Wu HY; Liang XW; Chen JL; Li J; Zhang S; Liu Z
    BMC Womens Health; 2024 Mar; 24(1):182. PubMed ID: 38504245
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Bi-parametric magnetic resonance imaging based radiomics for the identification of benign and malignant prostate lesions: cross-vendor validation.
    Ji X; Zhang J; Shi W; He D; Bao J; Wei X; Huang Y; Liu Y; Chen JC; Gao X; Tang Y; Xia W
    Phys Eng Sci Med; 2021 Sep; 44(3):745-754. PubMed ID: 34075559
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Development and Validation of a Deep Learning Radiomics Model to Predict High-Risk Pathologic Pulmonary Nodules Using Preoperative Computed Tomography.
    Ye G; Wu G; Li K; Zhang C; Zhuang Y; Liu H; Song E; Qi Y; Li Y; Yang F; Liao Y
    Acad Radiol; 2024 Apr; 31(4):1686-1697. PubMed ID: 37802672
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Development of a novel combined nomogram model integrating deep learning-pathomics, radiomics and immunoscore to predict postoperative outcome of colorectal cancer lung metastasis patients.
    Wang R; Dai W; Gong J; Huang M; Hu T; Li H; Lin K; Tan C; Hu H; Tong T; Cai G
    J Hematol Oncol; 2022 Jan; 15(1):11. PubMed ID: 35073937
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Automated prediction of the neoadjuvant chemotherapy response in osteosarcoma with deep learning and an MRI-based radiomics nomogram.
    Zhong J; Zhang C; Hu Y; Zhang J; Liu Y; Si L; Xing Y; Ding D; Geng J; Jiao Q; Zhang H; Yang G; Yao W
    Eur Radiol; 2022 Sep; 32(9):6196-6206. PubMed ID: 35364712
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Exploring the efficacy of multi-flavored feature extraction with radiomics and deep features for prostate cancer grading on mpMRI.
    Khanfari H; Mehranfar S; Cheki M; Mohammadi Sadr M; Moniri S; Heydarheydari S; Rezaeijo SM
    BMC Med Imaging; 2023 Nov; 23(1):195. PubMed ID: 37993801
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Machine Learning-based Analysis of Rectal Cancer MRI Radiomics for Prediction of Metachronous Liver Metastasis.
    Liang M; Cai Z; Zhang H; Huang C; Meng Y; Zhao L; Li D; Ma X; Zhao X
    Acad Radiol; 2019 Nov; 26(11):1495-1504. PubMed ID: 30711405
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Machine learning-based Radiomics analysis for differentiation degree and lymphatic node metastasis of extrahepatic cholangiocarcinoma.
    Tang Y; Yang CM; Su S; Wang WJ; Fan LP; Shu J
    BMC Cancer; 2021 Nov; 21(1):1268. PubMed ID: 34819043
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.