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 *

226 related articles for article (PubMed ID: 26127055)

  • 21. Urinary bladder cancer staging in CT urography using machine learning.
    Garapati SS; Hadjiiski L; Cha KH; Chan HP; Caoili EM; Cohan RH; Weizer A; Alva A; Paramagul C; Wei J; Zhou C
    Med Phys; 2017 Nov; 44(11):5814-5823. PubMed ID: 28786480
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Computer-aided diagnosis using morphological features for classifying breast lesions on ultrasound.
    Huang YL; Chen DR; Jiang YR; Kuo SJ; Wu HK; Moon WK
    Ultrasound Obstet Gynecol; 2008 Sep; 32(4):565-72. PubMed ID: 18383556
    [TBL] [Abstract][Full Text] [Related]  

  • 23. A computer-aided diagnosis system for dynamic contrast-enhanced MR images based on level set segmentation and ReliefF feature selection.
    Pang Z; Zhu D; Chen D; Li L; Shao Y
    Comput Math Methods Med; 2015; 2015():450531. PubMed ID: 25628755
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Texture analysis on (18)F-FDG PET/CT images to differentiate malignant and benign bone and soft-tissue lesions.
    Xu R; Kido S; Suga K; Hirano Y; Tachibana R; Muramatsu K; Chagawa K; Tanaka S
    Ann Nucl Med; 2014 Nov; 28(9):926-35. PubMed ID: 25107363
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Computer-aided classification of breast masses using speckle features of automated breast ultrasound images.
    Moon WK; Lo CM; Chang JM; Huang CS; Chen JH; Chang RF
    Med Phys; 2012 Oct; 39(10):6465-73. PubMed ID: 23039681
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Application of Computer-Assisted Endoscopic Ultrasonography Based on Texture Features in Differentiating Gastrointestinal Stromal Tumors from Benign Gastric Mesenchymal Tumors.
    Lv C; Chen H; Huang P; Chen Y; Liu B
    Turk J Gastroenterol; 2024 May; 35(5):366-373. PubMed ID: 39128112
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Texture feature extraction based on wavelet transform and gray-level co-occurrence matrices applied to osteosarcoma diagnosis.
    Hu S; Xu C; Guan W; Tang Y; Liu Y
    Biomed Mater Eng; 2014; 24(1):129-43. PubMed ID: 24211892
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Computer-aided diagnosis for the classification of breast masses in automated whole breast ultrasound images.
    Moon WK; Shen YW; Huang CS; Chiang LR; Chang RF
    Ultrasound Med Biol; 2011 Apr; 37(4):539-48. PubMed ID: 21420580
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Improvement in breast tumor discrimination by support vector machines and speckle-emphasis texture analysis.
    Chang RF; Wu WJ; Moon WK; Chen DR
    Ultrasound Med Biol; 2003 May; 29(5):679-86. PubMed ID: 12754067
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Improving the Accuracy of Computer-aided Diagnosis for Breast MR Imaging by Differentiating between Mass and Nonmass Lesions.
    Gallego-Ortiz C; Martel AL
    Radiology; 2016 Mar; 278(3):679-88. PubMed ID: 26383229
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Preliminary Study of Chronic Liver Classification on Ultrasound Images Using an Ensemble Model.
    Bharti P; Mittal D; Ananthasivan R
    Ultrason Imaging; 2018 Nov; 40(6):357-379. PubMed ID: 30015593
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Computer-aided diagnosis of pulmonary nodules on CT scans: segmentation and classification using 3D active contours.
    Way TW; Hadjiiski LM; Sahiner B; Chan HP; Cascade PN; Kazerooni EA; Bogot N; Zhou C
    Med Phys; 2006 Jul; 33(7):2323-37. PubMed ID: 16898434
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Correlations among acoustic, texture and morphological features for breast ultrasound CAD.
    Yang HC; Chang CH; Huang SW; Chou YH; Li PC
    Ultrason Imaging; 2008 Oct; 30(4):228-36. PubMed ID: 19507676
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Quantification of elastic heterogeneity using contourlet-based texture analysis in shear-wave elastography for breast tumor classification.
    Zhang Q; Xiao Y; Chen S; Wang C; Zheng H
    Ultrasound Med Biol; 2015 Feb; 41(2):588-600. PubMed ID: 25444693
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Machine learning for diagnostic ultrasound of triple-negative breast cancer.
    Wu T; Sultan LR; Tian J; Cary TW; Sehgal CM
    Breast Cancer Res Treat; 2019 Jan; 173(2):365-373. PubMed ID: 30343454
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Improvement of mammographic mass characterization using spiculation meausures and morphological features.
    Sahiner B; Chan HP; Petrick N; Helvie MA; Hadjiiski LM
    Med Phys; 2001 Jul; 28(7):1455-65. PubMed ID: 11488579
    [TBL] [Abstract][Full Text] [Related]  

  • 37. 2-D ultrasound strain images for breast cancer diagnosis using nonrigid subregion registration.
    Chen CJ; Chang RF; Moon WK; Chen DR; Wu HK
    Ultrasound Med Biol; 2006 Jun; 32(6):837-46. PubMed ID: 16785006
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Computer aided classification system for breast ultrasound based on Breast Imaging Reporting and Data System (BI-RADS).
    Shen WC; Chang RF; Moon WK
    Ultrasound Med Biol; 2007 Nov; 33(11):1688-98. PubMed ID: 17681678
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Computer-aided diagnosis for 3-dimensional breast ultrasonography.
    Chen DR; Chang RF; Chen WM; Moon WK
    Arch Surg; 2003 Mar; 138(3):296-302. PubMed ID: 12611578
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Multimodal feature learning and fusion on B-mode ultrasonography and sonoelastography using point-wise gated deep networks for prostate cancer diagnosis.
    Zhang Q; Xiong J; Cai Y; Shi J; Xu S; Zhang B
    Biomed Tech (Berl); 2020 Jan; 65(1):87-98. PubMed ID: 31743102
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 12.