BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

22 related articles for article (PubMed ID: 36039494)

  • 1. Ultrasound-based radiomics analysis for differentiating benign and malignant breast lesions: From static images to CEUS video analysis.
    Zhu JY; He HL; Lin ZM; Zhao JQ; Jiang XC; Liang ZH; Huang XP; Bao HW; Huang PT; Chen F
    Front Oncol; 2022; 12():951973. PubMed ID: 36185229
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A deep learning-based method for the diagnosis of vertebral fractures on spine MRI: retrospective training and validation of ResNet.
    Yeh LR; Zhang Y; Chen JH; Liu YL; Wang AC; Yang JY; Yeh WC; Cheng CS; Chen LK; Su MY
    Eur Spine J; 2022 Aug; 31(8):2022-2030. PubMed ID: 35089420
    [TBL] [Abstract][Full Text] [Related]  

  • 3. CT and MRI radiomics of bone and soft-tissue sarcomas: an updated systematic review of reproducibility and validation strategies.
    Gitto S; Cuocolo R; Huisman M; Messina C; Albano D; Omoumi P; Kotter E; Maas M; Van Ooijen P; Sconfienza LM
    Insights Imaging; 2024 Feb; 15(1):54. PubMed ID: 38411750
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Current Applications of Machine Learning for Spinal Cord Tumors.
    Katsos K; Johnson SE; Ibrahim S; Bydon M
    Life (Basel); 2023 Feb; 13(2):. PubMed ID: 36836877
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Radiomics vs radiologist in bladder and renal cancer. Results from a systematic review.
    Tramanzoli P; Castellani D; De Stefano V; Brocca C; Nedbal C; Chiacchio G; Galosi AB; Da Silva RD; Teoh JY; Tiong HY; Naik N; Somani BK; Gauhar V
    Cent European J Urol; 2023; 76(1):12-19. PubMed ID: 37064257
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A Deep Convolutional Neural Network With Performance Comparable to Radiologists for Differentiating Between Spinal Schwannoma and Meningioma.
    Maki S; Furuya T; Horikoshi T; Yokota H; Mori Y; Ota J; Kawasaki Y; Miyamoto T; Norimoto M; Okimatsu S; Shiga Y; Inage K; Orita S; Takahashi H; Suyari H; Uno T; Ohtori S
    Spine (Phila Pa 1976); 2020 May; 45(10):694-700. PubMed ID: 31809468
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Differentiating Benign from Malignant Renal Tumors Using T2- and Diffusion-Weighted Images: A Comparison of Deep Learning and Radiomics Models Versus Assessment from Radiologists.
    Xu Q; Zhu Q; Liu H; Chang L; Duan S; Dou W; Li S; Ye J
    J Magn Reson Imaging; 2022 Apr; 55(4):1251-1259. PubMed ID: 34462986
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Differentiation between spinal multiple myeloma and metastases originated from lung using multi-view attention-guided network.
    Chen K; Cao J; Zhang X; Wang X; Zhao X; Li Q; Chen S; Wang P; Liu T; Du J; Liu S; Zhang L
    Front Oncol; 2022; 12():981769. PubMed ID: 36158659
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Convolutional neural network-based magnetic resonance image differentiation of filum terminale ependymomas from schwannomas.
    Gu Z; Dai W; Chen J; Jiang Q; Lin W; Wang Q; Chen J; Gu C; Li J; Ying G; Zhu Y
    BMC Cancer; 2024 Mar; 24(1):350. PubMed ID: 38504164
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Differentiation of benign and malignant spinal schwannoma using guided attention inference networks on multi-source MRI: comparison with radiomics method and radiologist-based clinical assessment.
    Cao J; Wang X; Qiao Y; Chen S; Wang P; Sun H; Zhang L; Liu T; Liu S
    Acta Radiol; 2023 Mar; 64(3):1184-1193. PubMed ID: 36039494
    [TBL] [Abstract][Full Text] [Related]  

  • 12.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 13.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 14.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 15.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 16.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 17.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 18.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 19.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 2.