BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

301 related articles for article (PubMed ID: 16039540)

  • 21. Comparative analysis of breast cancer detection in mammograms and thermograms.
    Milosevic M; Jankovic D; Peulic A
    Biomed Tech (Berl); 2015 Feb; 60(1):49-56. PubMed ID: 25720034
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Computer-assisted diagnosis: the classification of mammographic breast parenchymal patterns.
    Tahoces PG; Correa J; Souto M; Gómez L; Vidal JJ
    Phys Med Biol; 1995 Jan; 40(1):103-17. PubMed ID: 7708834
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Quantitative assessment of mammographic density and breast cancer risk for Japanese women.
    Kotsuma Y; Tamaki Y; Nishimura T; Tsubai M; Ueda S; Shimazu K; Jin Kim S; Miyoshi Y; Tanji Y; Taguchi T; Noguchi S
    Breast; 2008 Feb; 17(1):27-35. PubMed ID: 17716895
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Analysis of parenchymal texture with digital breast tomosynthesis: comparison with digital mammography and implications for cancer risk assessment.
    Kontos D; Ikejimba LC; Bakic PR; Troxel AB; Conant EF; Maidment AD
    Radiology; 2011 Oct; 261(1):80-91. PubMed ID: 21771961
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Evaluation of computer-aided diagnosis on a large clinical full-field digital mammographic dataset.
    Li H; Giger ML; Yuan Y; Chen W; Horsch K; Lan L; Jamieson AR; Sennett CA; Jansen SA
    Acad Radiol; 2008 Nov; 15(11):1437-45. PubMed ID: 18995194
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Breast parenchymal patterns in processed versus raw digital mammograms: A large population study toward assessing differences in quantitative measures across image representations.
    Gastounioti A; Oustimov A; Keller BM; Pantalone L; Hsieh MK; Conant EF; Kontos D
    Med Phys; 2016 Nov; 43(11):5862. PubMed ID: 27806604
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Mammographic texture and risk of breast cancer by tumor type and estrogen receptor status.
    Malkov S; Shepherd JA; Scott CG; Tamimi RM; Ma L; Bertrand KA; Couch F; Jensen MR; Mahmoudzadeh AP; Fan B; Norman A; Brandt KR; Pankratz VS; Vachon CM; Kerlikowske K
    Breast Cancer Res; 2016 Dec; 18(1):122. PubMed ID: 27923387
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Computerized characterization of masses on mammograms: the rubber band straightening transform and texture analysis.
    Sahiner B; Chan HP; Petrick N; Helvie MA; Goodsitt MM
    Med Phys; 1998 Apr; 25(4):516-26. PubMed ID: 9571620
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Mammographic features and subsequent risk of breast cancer: a comparison of qualitative and quantitative evaluations in the Guernsey prospective studies.
    Torres-Mejía G; De Stavola B; Allen DS; Pérez-Gavilán JJ; Ferreira JM; Fentiman IS; Dos Santos Silva I
    Cancer Epidemiol Biomarkers Prev; 2005 May; 14(5):1052-9. PubMed ID: 15894652
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Characterization and classification of tumor lesions using computerized fractal-based texture analysis and support vector machines in digital mammograms.
    Guo Q; Shao J; Ruiz VF
    Int J Comput Assist Radiol Surg; 2009 Jan; 4(1):11-25. PubMed ID: 20033598
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Relation between Mammographic Parenchymal Patterns and Breast Cancer Risk: Considering BMI, Compressed Breast Thickness and Age of Women in Tabriz, Iran.
    Mehnati P; Alizadeh H; Hoda H
    Asian Pac J Cancer Prev; 2016; 17(4):2259-63. PubMed ID: 27221927
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Prediction of near-term risk of developing breast cancer using computerized features from bilateral mammograms.
    Sun W; Zheng B; Lure F; Wu T; Zhang J; Wang BY; Saltzstein EC; Qian W
    Comput Med Imaging Graph; 2014 Jul; 38(5):348-57. PubMed ID: 24725671
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Association of computerized mammographic parenchymal pattern measure with breast cancer risk: a pilot case-control study.
    Wei J; Chan HP; Wu YT; Zhou C; Helvie MA; Tsodikov A; Hadjiiski LM; Sahiner B
    Radiology; 2011 Jul; 260(1):42-9. PubMed ID: 21406634
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Breast cancer screening in BRCA1 and BRCA2 mutation carriers after risk reducing salpingo-oophorectomy.
    Fakkert IE; Jansen L; Meijer K; Kok T; Oosterwijk JC; Mourits MJ; de Bock GH
    Breast Cancer Res Treat; 2011 Aug; 129(1):157-64. PubMed ID: 21373873
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Using multiscale texture and density features for near-term breast cancer risk analysis.
    Sun W; Tseng TL; Qian W; Zhang J; Saltzstein EC; Zheng B; Lure F; Yu H; Zhou S
    Med Phys; 2015 Jun; 42(6):2853-62. PubMed ID: 26127038
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Do Mammographic Systems Affect the Performance of Computerized Parenchymal Analysis?
    Pertuz S; Sassi A; Arponen O; Holli-Helenius K; Laaperi AL; Rinta-Kiikka I
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():4863-4866. PubMed ID: 31946950
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Usefulness of texture analysis for computerized classification of breast lesions on mammograms.
    Pereira RR; Azevedo Marques PM; Honda MO; Kinoshita SK; Engelmann R; Muramatsu C; Doi K
    J Digit Imaging; 2007 Sep; 20(3):248-55. PubMed ID: 17122993
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Using Convolutional Neural Networks for Enhanced Capture of Breast Parenchymal Complexity Patterns Associated with Breast Cancer Risk.
    Gastounioti A; Oustimov A; Hsieh MK; Pantalone L; Conant EF; Kontos D
    Acad Radiol; 2018 Aug; 25(8):977-984. PubMed ID: 29395798
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Mammographic masses characterization based on localized texture and dataset fractal analysis using linear, neural and support vector machine classifiers.
    Mavroforakis ME; Georgiou HV; Dimitropoulos N; Cavouras D; Theodoridis S
    Artif Intell Med; 2006 Jun; 37(2):145-62. PubMed ID: 16716579
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Mammographic density and breast cancer risk in BRCA1 and BRCA2 mutation carriers.
    Mitchell G; Antoniou AC; Warren R; Peock S; Brown J; Davies R; Mattison J; Cook M; Warsi I; Evans DG; Eccles D; Douglas F; Paterson J; Hodgson S; Izatt L; Cole T; Burgess L; Eeles R; Easton DF
    Cancer Res; 2006 Feb; 66(3):1866-72. PubMed ID: 16452249
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 16.