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 *

162 related articles for article (PubMed ID: 32280747)

  • 1. MRI-Based Deep Learning Segmentation and Radiomics of Sarcoma in Mice.
    Holbrook MD; Blocker SJ; Mowery YM; Badea A; Qi Y; Xu ES; Kirsch DG; Johnson GA; Badea CT
    Tomography; 2020 Mar; 6(1):23-33. PubMed ID: 32280747
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Development and benchmarking of a Deep Learning-based MRI-guided gross tumor segmentation algorithm for Radiomics analyses in extremity soft tissue sarcomas.
    Peeken JC; Etzel L; Tomov T; Münch S; Schüttrumpf L; Shaktour JH; Kiechle J; Knebel C; Schaub SK; Mayr NA; Woodruff HC; Lambin P; Gersing AS; Bernhardt D; Nyflot MJ; Menze B; Combs SE; Navarro F
    Radiother Oncol; 2024 Aug; 197():110338. PubMed ID: 38782301
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Natural Changes in Radiological and Radiomics Features on MRIs of Soft-Tissue Sarcomas Naïve of Treatment: Correlations With Histology and Patients' Outcomes.
    Fadli D; Kind M; Michot A; Le Loarer F; Crombé A
    J Magn Reson Imaging; 2022 Jul; 56(1):77-96. PubMed ID: 34939705
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Soft Tissue Sarcomas: Preoperative Predictive Histopathological Grading Based on Radiomics of MRI.
    Zhang Y; Zhu Y; Shi X; Tao J; Cui J; Dai Y; Zheng M; Wang S
    Acad Radiol; 2019 Sep; 26(9):1262-1268. PubMed ID: 30377057
    [TBL] [Abstract][Full Text] [Related]  

  • 5. MRI-Based Computer-Aided Diagnostic Model to Predict Tumor Grading and Clinical Outcomes in Patients With Soft Tissue Sarcoma.
    Yang Y; Zhou Y; Zhou C; Zhang X; Ma X
    J Magn Reson Imaging; 2022 Dec; 56(6):1733-1745. PubMed ID: 35303756
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Fully automated segmentation and radiomics feature extraction of hypopharyngeal cancer on MRI using deep learning.
    Lin YC; Lin G; Pandey S; Yeh CH; Wang JJ; Lin CY; Ho TY; Ko SF; Ng SH
    Eur Radiol; 2023 Sep; 33(9):6548-6556. PubMed ID: 37338554
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Ensemble learning-based radiomics with multi-sequence magnetic resonance imaging for benign and malignant soft tissue tumor differentiation.
    Lee S; Lee SY; Jung JY; Nam Y; Jeon HJ; Jung CK; Shin SH; Chung YG
    PLoS One; 2023; 18(5):e0286417. PubMed ID: 37256875
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Deep learning for fully automated tumor segmentation and extraction of magnetic resonance radiomics features in cervical cancer.
    Lin YC; Lin CH; Lu HY; Chiang HJ; Wang HK; Huang YT; Ng SH; Hong JH; Yen TC; Lai CH; Lin G
    Eur Radiol; 2020 Mar; 30(3):1297-1305. PubMed ID: 31712961
    [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. Development of clinical and magnetic resonance imaging-based radiomics nomograms for the differentiation of nodular fasciitis from soft tissue sarcoma.
    Wang C; Zhang Z; Dou Y; Liu Y; Chen B; Liu Q; Wang S
    Acta Radiol; 2023 Sep; 64(9):2578-2589. PubMed ID: 37593946
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Deep learning-based automatic segmentation of meningioma from multiparametric MRI for preoperative meningioma differentiation using radiomic features: a multicentre study.
    Chen H; Li S; Zhang Y; Liu L; Lv X; Yi Y; Ruan G; Ke C; Feng Y
    Eur Radiol; 2022 Oct; 32(10):7248-7259. PubMed ID: 35420299
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Deep learning-based automatic segmentation of meningioma from T1-weighted contrast-enhanced MRI for preoperative meningioma differentiation using radiomic features.
    Yang L; Wang T; Zhang J; Kang S; Xu S; Wang K
    BMC Med Imaging; 2024 Mar; 24(1):56. PubMed ID: 38443817
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Magnetic Resonance Imaging-Based Radiomics Nomogram for Prediction of the Histopathological Grade of Soft Tissue Sarcomas: A Two-Center Study.
    Yan R; Hao D; Li J; Liu J; Hou F; Chen H; Duan L; Huang C; Wang H; Yu T
    J Magn Reson Imaging; 2021 Jun; 53(6):1683-1696. PubMed ID: 33604955
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Intratumoral and peritumoral MRI-based radiomics prediction of histopathological grade in soft tissue sarcomas: a two-center study.
    Zhang L; Yang Y; Wang T; Chen X; Tang M; Deng J; Cai Z; Cui W
    Cancer Imaging; 2023 Oct; 23(1):103. PubMed ID: 37885031
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. A radiomics-incorporated deep ensemble learning model for multi-parametric MRI-based glioma segmentation.
    Chen Y; Yang Z; Zhao J; Adamson J; Sheng Y; Yin FF; Wang C
    Phys Med Biol; 2023 Sep; 68(18):. PubMed ID: 37586382
    [No Abstract]   [Full Text] [Related]  

  • 17. Diffusion and perfusion MRI radiomics obtained from deep learning segmentation provides reproducible and comparable diagnostic model to human in post-treatment glioblastoma.
    Park JE; Ham S; Kim HS; Park SY; Yun J; Lee H; Choi SH; Kim N
    Eur Radiol; 2021 May; 31(5):3127-3137. PubMed ID: 33128598
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Tumor grading of soft tissue sarcomas using MRI-based radiomics.
    Peeken JC; Spraker MB; Knebel C; Dapper H; Pfeiffer D; Devecka M; Thamer A; Shouman MA; Ott A; von Eisenhart-Rothe R; Nüsslin F; Mayr NA; Nyflot MJ; Combs SE
    EBioMedicine; 2019 Oct; 48():332-340. PubMed ID: 31522983
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Advancing musculoskeletal tumor diagnosis: Automated segmentation and predictive classification using deep learning and radiomics.
    Wang S; Sun M; Sun J; Wang Q; Wang G; Wang X; Meng X; Wang Z; Yu H
    Comput Biol Med; 2024 Jun; 175():108502. PubMed ID: 38678943
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Glioma grading prediction using multiparametric magnetic resonance imaging-based radiomics combined with proton magnetic resonance spectroscopy and diffusion tensor imaging.
    Lin K; Cidan W; Qi Y; Wang X
    Med Phys; 2022 Jul; 49(7):4419-4429. PubMed ID: 35366379
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.