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 *

207 related articles for article (PubMed ID: 25870223)

  • 1. Pectoral muscle attenuation as a marker for breast cancer risk in full-field digital mammography.
    Cheddad A; Czene K; Hall P; Humphreys K
    Cancer Epidemiol Biomarkers Prev; 2015 Jun; 24(6):985-91. PubMed ID: 25870223
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Enhancement of mammographic density measures in breast cancer risk prediction.
    Cheddad A; Czene K; Shepherd JA; Li J; Hall P; Humphreys K
    Cancer Epidemiol Biomarkers Prev; 2014 Jul; 23(7):1314-23. PubMed ID: 24722754
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Comparison of percent density from raw and processed full-field digital mammography data.
    Vachon CM; Fowler EE; Tiffenberg G; Scott CG; Pankratz VS; Sellers TA; Heine JJ
    Breast Cancer Res; 2013 Jan; 15(1):R1. PubMed ID: 23289950
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Digital versus screen-film mammography: impact of mammographic density and hormone therapy on breast cancer detection.
    Chiarelli AM; Prummel MV; Muradali D; Shumak RS; Majpruz V; Brown P; Jiang H; Done SJ; Yaffe MJ
    Breast Cancer Res Treat; 2015 Nov; 154(2):377-87. PubMed ID: 26518019
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Automated measurement of volumetric mammographic density: a tool for widespread breast cancer risk assessment.
    Brand JS; Czene K; Shepherd JA; Leifland K; Heddson B; Sundbom A; Eriksson M; Li J; Humphreys K; Hall P
    Cancer Epidemiol Biomarkers Prev; 2014 Sep; 23(9):1764-72. PubMed ID: 25012995
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Mammographic density and risk of breast cancer in Korean women.
    Kim BK; Choi YH; Nguyen TL; Nam SJ; Lee JE; Hopper JL; Sung J; Song YM
    Eur J Cancer Prev; 2015 Sep; 24(5):422-9. PubMed ID: 25370685
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Area and volumetric density estimation in processed full-field digital mammograms for risk assessment of breast cancer.
    Cheddad A; Czene K; Eriksson M; Li J; Easton D; Hall P; Humphreys K
    PLoS One; 2014; 9(10):e110690. PubMed ID: 25329322
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Evaluation of LIBRA Software for Fully Automated Mammographic Density Assessment in Breast Cancer Risk Prediction.
    Gastounioti A; Kasi CD; Scott CG; Brandt KR; Jensen MR; Hruska CB; Wu FF; Norman AD; Conant EF; Winham SJ; Kerlikowske K; Kontos D; Vachon CM
    Radiology; 2020 Jul; 296(1):24-31. PubMed ID: 32396041
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The influence of mammogram acquisition on the mammographic density and breast cancer association in the Mayo Mammography Health Study cohort.
    Olson JE; Sellers TA; Scott CG; Schueler BA; Brandt KR; Serie DJ; Jensen MR; Wu FF; Morton MJ; Heine JJ; Couch FJ; Pankratz VS; Vachon CM
    Breast Cancer Res; 2012 Nov; 14(6):R147. PubMed ID: 23152984
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A New Breast Border Extraction and Contrast Enhancement Technique with Digital Mammogram Images for Improved Detection of Breast Cancer.
    Hazarika M; Mahanta LB
    Asian Pac J Cancer Prev; 2018 Aug; 19(8):2141-2148. PubMed ID: 30139217
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Automatic Detection of Pectoral Muscle Region for Computer-Aided Diagnosis Using MIAS Mammograms.
    Yoon WB; Oh JE; Chae EY; Kim HH; Lee SY; Kim KG
    Biomed Res Int; 2016; 2016():5967580. PubMed ID: 27847817
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Comparison between two packages for pectoral muscle removal on mammographic images.
    Sansone M; Marrone S; Di Salvio G; Belfiore MP; Gatta G; Fusco R; Vanore L; Zuiani C; Grassi F; Vietri MT; Granata V; Grassi R
    Radiol Med; 2022 Aug; 127(8):848-856. PubMed ID: 35816260
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Mammographic density defined by higher than conventional brightness threshold better predicts breast cancer risk for full-field digital mammograms.
    Nguyen TL; Aung YK; Evans CF; Yoon-Ho C; Jenkins MA; Sung J; Hopper JL; Song YM
    Breast Cancer Res; 2015 Nov; 17():142. PubMed ID: 26581435
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Geometry-Based Pectoral Muscle Segmentation From MLO Mammogram Views.
    Taghanaki SA; Liu Y; Miles B; Hamarneh G
    IEEE Trans Biomed Eng; 2017 Nov; 64(11):2662-2671. PubMed ID: 28129144
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Automated pectoral muscle identification on MLO-view mammograms: Comparison of deep neural network to conventional computer vision.
    Ma X; Wei J; Zhou C; Helvie MA; Chan HP; Hadjiiski LM; Lu Y
    Med Phys; 2019 May; 46(5):2103-2114. PubMed ID: 30771257
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Digital mammographic density and breast cancer risk: a case-control study of six alternative density assessment methods.
    Eng A; Gallant Z; Shepherd J; McCormack V; Li J; Dowsett M; Vinnicombe S; Allen S; dos-Santos-Silva I
    Breast Cancer Res; 2014 Sep; 16(5):439. PubMed ID: 25239205
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Preliminary evaluation of the publicly available Laboratory for Breast Radiodensity Assessment (LIBRA) software tool: comparison of fully automated area and volumetric density measures in a case-control study with digital mammography.
    Keller BM; Chen J; Daye D; Conant EF; Kontos D
    Breast Cancer Res; 2015 Aug; 17():117. PubMed ID: 26303303
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Computerized analysis of mammographic parenchymal patterns on a large clinical dataset of full-field digital mammograms: robustness study with two high-risk datasets.
    Li H; Giger ML; Lan L; Bancroft Brown J; MacMahon A; Mussman M; Olopade OI; Sennett C
    J Digit Imaging; 2012 Oct; 25(5):591-8. PubMed ID: 22246204
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Risk factors and tumor characteristics of interval cancers by mammographic density.
    Holm J; Humphreys K; Li J; Ploner A; Cheddad A; Eriksson M; Törnberg S; Hall P; Czene K
    J Clin Oncol; 2015 Mar; 33(9):1030-7. PubMed ID: 25646195
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Estimation of breast percent density in raw and processed full field digital mammography images via adaptive fuzzy c-means clustering and support vector machine segmentation.
    Keller BM; Nathan DL; Wang Y; Zheng Y; Gee JC; Conant EF; Kontos D
    Med Phys; 2012 Aug; 39(8):4903-17. PubMed ID: 22894417
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.