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 *

110 related articles for article (PubMed ID: 28778512)

  • 1. CT Image-based Decision Support System for Categorization of Liver Metastases Into Primary Cancer Sites: Initial Results.
    Ben-Cohen A; Klang E; Diamant I; Rozendorn N; Raskin SP; Konen E; Amitai MM; Greenspan H
    Acad Radiol; 2017 Dec; 24(12):1501-1509. PubMed ID: 28778512
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Analysis of Abdominal Computed Tomography Images for Automatic Liver Cancer Diagnosis Using Image Processing Algorithm.
    Khan AA; Narejo GB
    Curr Med Imaging Rev; 2019; 15(10):972-982. PubMed ID: 32008524
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Computer-aided diagnosis for preoperative invasion depth of gastric cancer with dual-energy spectral CT imaging.
    Li C; Shi C; Zhang H; Hui C; Lam KM; Zhang S
    Acad Radiol; 2015 Feb; 22(2):149-57. PubMed ID: 25249448
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Effective staging of fibrosis by the selected texture features of liver: Which one is better, CT or MR imaging?
    Zhang X; Gao X; Liu BJ; Ma K; Yan W; Liling L; Yuhong H; Fujita H
    Comput Med Imaging Graph; 2015 Dec; 46 Pt 2():227-36. PubMed ID: 26455963
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Deep feature classification of angiomyolipoma without visible fat and renal cell carcinoma in abdominal contrast-enhanced CT images with texture image patches and hand-crafted feature concatenation.
    Lee H; Hong H; Kim J; Jung DC
    Med Phys; 2018 Apr; 45(4):1550-1561. PubMed ID: 29474742
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Ensembled liver cancer detection and classification using CT images.
    Krishan A; Mittal D
    Proc Inst Mech Eng H; 2021 Feb; 235(2):232-244. PubMed ID: 33183141
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Improved Patch-Based Automated Liver Lesion Classification by Separate Analysis of the Interior and Boundary Regions.
    Diamant I; Hoogi A; Beaulieu CF; Safdari M; Klang E; Amitai M; Greenspan H; Rubin DL
    IEEE J Biomed Health Inform; 2016 Nov; 20(6):1585-1594. PubMed ID: 26372661
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Differentiation of fat-poor angiomyolipoma from clear cell renal cell carcinoma in contrast-enhanced MDCT images using quantitative feature classification.
    Lee HS; Hong H; Jung DC; Park S; Kim J
    Med Phys; 2017 Jul; 44(7):3604-3614. PubMed ID: 28376281
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Automated system for lung nodules classification based on wavelet feature descriptor and support vector machine.
    Madero Orozco H; Vergara Villegas OO; Cruz Sánchez VG; Ochoa Domínguez Hde J; Nandayapa Alfaro Mde J
    Biomed Eng Online; 2015 Feb; 14():9. PubMed ID: 25888834
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Assessment of a model-based, iterative reconstruction algorithm (MBIR) regarding image quality and dose reduction in liver computed tomography.
    Chang W; Lee JM; Lee K; Yoon JH; Yu MH; Han JK; Choi BI
    Invest Radiol; 2013 Aug; 48(8):598-606. PubMed ID: 23511193
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Automatic detection and classification of hypodense hepatic lesions on contrast-enhanced venous-phase CT.
    Bilello M; Gokturk SB; Desser T; Napel S; Jeffrey RB; Beaulieu CF
    Med Phys; 2004 Sep; 31(9):2584-93. PubMed ID: 15487741
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Computer-aided diagnosis of contrast-enhanced spectral mammography: A feasibility study.
    Patel BK; Ranjbar S; Wu T; Pockaj BA; Li J; Zhang N; Lobbes M; Zhang B; Mitchell JR
    Eur J Radiol; 2018 Jan; 98():207-213. PubMed ID: 29279165
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Semiautomatic segmentation of liver metastases on volumetric CT images.
    Yan J; Schwartz LH; Zhao B
    Med Phys; 2015 Nov; 42(11):6283-93. PubMed ID: 26520721
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A retrieval-based computer-aided diagnosis system for the characterization of liver lesions in CT scans.
    Dankerl P; Cavallaro A; Tsymbal A; Costa MJ; Suehling M; Janka R; Uder M; Hammon M
    Acad Radiol; 2013 Dec; 20(12):1526-34. PubMed ID: 24200479
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Automatic liver contouring for radiotherapy treatment planning.
    Li D; Liu L; Kapp DS; Xing L
    Phys Med Biol; 2015 Oct; 60(19):7461-83. PubMed ID: 26352291
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Task-Driven Dictionary Learning Based on Mutual Information for Medical Image Classification.
    Diamant I; Klang E; Amitai M; Konen E; Goldberger J; Greenspan H
    IEEE Trans Biomed Eng; 2017 Jun; 64(6):1380-1392. PubMed ID: 27608447
    [TBL] [Abstract][Full Text] [Related]  

  • 17. An improved fuzzy-differential evolution approach applied to classification of tumors in liver CT scan images.
    AmirHosseini B; Hosseini R
    Med Biol Eng Comput; 2019 Oct; 57(10):2277-2287. PubMed ID: 31418157
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Fully automatic detection of lung nodules in CT images using a hybrid feature set.
    Shaukat F; Raja G; Gooya A; Frangi AF
    Med Phys; 2017 Jul; 44(7):3615-3629. PubMed ID: 28409834
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Computer-aided diagnosis for classifying benign versus malignant thyroid nodules based on ultrasound images: A comparison with radiologist-based assessments.
    Chang Y; Paul AK; Kim N; Baek JH; Choi YJ; Ha EJ; Lee KD; Lee HS; Shin D; Kim N
    Med Phys; 2016 Jan; 43(1):554. PubMed ID: 26745948
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Content-Based Image Retrieval System for Pulmonary Nodules: Assisting Radiologists in Self-Learning and Diagnosis of Lung Cancer.
    Dhara AK; Mukhopadhyay S; Dutta A; Garg M; Khandelwal N
    J Digit Imaging; 2017 Feb; 30(1):63-77. PubMed ID: 27678255
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.