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 *

137 related articles for article (PubMed ID: 25250576)

  • 1. Contourlet textual features: improving the diagnosis of solitary pulmonary nodules in two dimensional CT images.
    Wang J; Sun T; Gao N; Menon DD; Luo Y; Gao Q; Li X; Wang W; Zhu H; Lv P; Liang Z; Tao L; Liu X; Guo X
    PLoS One; 2014; 9(9):e108465. PubMed ID: 25250576
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Combination of radiological and gray level co-occurrence matrix textural features used to distinguish solitary pulmonary nodules by computed tomography.
    Wu H; Sun T; Wang J; Li X; Wang W; Huo D; Lv P; He W; Wang K; Guo X
    J Digit Imaging; 2013 Aug; 26(4):797-802. PubMed ID: 23325122
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Prediction models for solitary pulmonary nodules based on curvelet textural features and clinical parameters.
    Wang JJ; Wu HF; Sun T; Li X; Wang W; Tao LX; Huo D; Lv PX; He W; Guo XH
    Asian Pac J Cancer Prev; 2013; 14(10):6019-23. PubMed ID: 24289618
    [TBL] [Abstract][Full Text] [Related]  

  • 4. An integrated segmentation and shape-based classification scheme for distinguishing adenocarcinomas from granulomas on lung CT.
    Alilou M; Beig N; Orooji M; Rajiah P; Velcheti V; Rakshit S; Reddy N; Yang M; Jacono F; Gilkeson RC; Linden P; Madabhushi A
    Med Phys; 2017 Jul; 44(7):3556-3569. PubMed ID: 28295386
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Can Spectral CT Imaging Improve the Differentiation between Malignant and Benign Solitary Pulmonary Nodules?
    Zhang Y; Cheng J; Hua X; Yu M; Xu C; Zhang F; Xu J; Wu H
    PLoS One; 2016; 11(2):e0147537. PubMed ID: 26840459
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Content-based image-retrieval system in chest computed tomography for a solitary pulmonary nodule: method and preliminary experiments.
    Endo M; Aramaki T; Asakura K; Moriguchi M; Akimaru M; Osawa A; Hisanaga R; Moriya Y; Shimura K; Furukawa H; Yamaguchi K
    Int J Comput Assist Radiol Surg; 2012 Mar; 7(2):331-8. PubMed ID: 22258753
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Using neighborhood gray tone difference matrix texture features on dual time point PET/CT images to differentiate malignant from benign FDG-avid solitary pulmonary nodules.
    Chen S; Harmon S; Perk T; Li X; Chen M; Li Y; Jeraj R
    Cancer Imaging; 2019 Aug; 19(1):56. PubMed ID: 31420006
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Preoperative diagnosis of malignant pulmonary nodules in lung cancer screening with a radiomics nomogram.
    Liu A; Wang Z; Yang Y; Wang J; Dai X; Wang L; Lu Y; Xue F
    Cancer Commun (Lond); 2020 Jan; 40(1):16-24. PubMed ID: 32125097
    [TBL] [Abstract][Full Text] [Related]  

  • 9. [Dynamic enhanced CT evaluation of solitary pulmonary nodules].
    Ye XD; Yuan Z; Ye JD; Li HM; Xiao XS
    Zhonghua Zhong Liu Za Zhi; 2011 Apr; 33(4):308-12. PubMed ID: 21575507
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Computer-aided diagnosis for early-stage lung cancer based on longitudinal and balanced data.
    Sun T; Zhang R; Wang J; Li X; Guo X
    PLoS One; 2013; 8(5):e63559. PubMed ID: 23691066
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Feature selection and performance evaluation of support vector machine (SVM)-based classifier for differentiating benign and malignant pulmonary nodules by computed tomography.
    Zhu Y; Tan Y; Hua Y; Wang M; Zhang G; Zhang J
    J Digit Imaging; 2010 Feb; 23(1):51-65. PubMed ID: 19242759
    [TBL] [Abstract][Full Text] [Related]  

  • 12. [Comparative analysis of computed tomography texture features between pulmonary inflammatory nodules and lung cancer].
    E LN; Zhang N; Wang RH; Wu ZF
    Zhonghua Zhong Liu Za Zhi; 2018 Nov; 40(11):847-850. PubMed ID: 30481937
    [No Abstract]   [Full Text] [Related]  

  • 13.
    Taralli S; Scolozzi V; Foti M; Ricciardi S; Forcione AR; Cardillo G; Calcagni ML
    Eur J Nucl Med Mol Imaging; 2019 Feb; 46(2):429-436. PubMed ID: 30535767
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Improved lung nodule diagnosis accuracy using lung CT images with uncertain class.
    Wang Z; Xin J; Sun P; Lin Z; Yao Y; Gao X
    Comput Methods Programs Biomed; 2018 Aug; 162():197-209. PubMed ID: 29903487
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Computer-Aided Diagnosis (CAD) of Pulmonary Nodule of Thoracic CT Image Using Transfer Learning.
    Zhang S; Sun F; Wang N; Zhang C; Yu Q; Zhang M; Babyn P; Zhong H
    J Digit Imaging; 2019 Dec; 32(6):995-1007. PubMed ID: 31044393
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Solitary pulmonary nodule: characterization with combined wash-in and washout features at dynamic multi-detector row CT.
    Jeong YJ; Lee KS; Jeong SY; Chung MJ; Shim SS; Kim H; Kwon OJ; Kim S
    Radiology; 2005 Nov; 237(2):675-83. PubMed ID: 16244276
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prediction efficacy of feature classification of solitary pulmonary nodules based on CT radiomics.
    Xu QQ; Shan WL; Zhu Y; Huang CC; Bao SY; Guo LL
    Eur J Radiol; 2021 Jun; 139():109667. PubMed ID: 33867180
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Coronal multiplanar reconstruction view from whole lung thin-section CT by multidetector-row CT: determination of malignant or benign lesions and differential diagnosis in 68 cases of solitary pulmonary nodule.
    Tsubamoto M; Johkoh T; Kozuka T; Honda O; Koyama M; Murai S; Inoue A; Sumikawa H; Tomiyama N; Hamada S; Yamamoto S; Nakamura H; Kudo M
    Radiat Med; 2003; 21(6):267-71. PubMed ID: 14743900
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Differentiation of malignant and benign pulmonary nodules with quantitative first-pass 320-detector row perfusion CT versus FDG PET/CT.
    Ohno Y; Koyama H; Matsumoto K; Onishi Y; Takenaka D; Fujisawa Y; Yoshikawa T; Konishi M; Maniwa Y; Nishimura Y; Ito T; Sugimura K
    Radiology; 2011 Feb; 258(2):599-609. PubMed ID: 21273522
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Computerized scheme for determination of the likelihood measure of malignancy for pulmonary nodules on low-dose CT images.
    Aoyama M; Li Q; Katsuragawa S; Li F; Sone S; Doi K
    Med Phys; 2003 Mar; 30(3):387-94. PubMed ID: 12674239
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.