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 *

120 related articles for article (PubMed ID: 11548934)

  • 21. Computer-aided diagnosis of solid breast nodules: use of an artificial neural network based on multiple sonographic features.
    Joo S; Yang YS; Moon WK; Kim HC
    IEEE Trans Med Imaging; 2004 Oct; 23(10):1292-300. PubMed ID: 15493696
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Breast mass contour segmentation algorithm in digital mammograms.
    Berber T; Alpkocak A; Balci P; Dicle O
    Comput Methods Programs Biomed; 2013 May; 110(2):150-9. PubMed ID: 23273502
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Computer-aided diagnosis of mammographic microcalcification clusters.
    Kallergi M
    Med Phys; 2004 Feb; 31(2):314-26. PubMed ID: 15000617
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Malignant and benign breast masses on 3D US volumetric images: effect of computer-aided diagnosis on radiologist accuracy.
    Sahiner B; Chan HP; Roubidoux MA; Hadjiiski LM; Helvie MA; Paramagul C; Bailey J; Nees AV; Blane C
    Radiology; 2007 Mar; 242(3):716-24. PubMed ID: 17244717
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Case-based reasoning computer algorithm that uses mammographic findings for breast biopsy decisions.
    Floyd CE; Lo JY; Tourassi GD
    AJR Am J Roentgenol; 2000 Nov; 175(5):1347-52. PubMed ID: 11044039
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Gradient and texture analysis for the classification of mammographic masses.
    Mudigonda NR; Rangayyan RM; Desautels JE
    IEEE Trans Med Imaging; 2000 Oct; 19(10):1032-43. PubMed ID: 11131493
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Intensity inhomogeneity correction for the breast sonogram: constrained fuzzy cell-based bipartitioning and polynomial surface modeling.
    Lee CY; Chou YH; Huang CS; Chang YC; Tiu CM; Chen CM
    Med Phys; 2010 Nov; 37(11):5645-54. PubMed ID: 21158276
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Multimodality computerized diagnosis of breast lesions using mammography and sonography.
    Drukker K; Horsch K; Giger ML
    Acad Radiol; 2005 Aug; 12(8):970-9. PubMed ID: 16087091
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Fissures segmentation using surface features: content-based retrieval for mammographic mass using ensemble classifier.
    Liu H; Lan Y; Xu X; Song E; Hung CC
    Acad Radiol; 2011 Dec; 18(12):1475-84. PubMed ID: 22055794
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Use of border information in the classification of mammographic masses.
    Varela C; Timp S; Karssemeijer N
    Phys Med Biol; 2006 Jan; 51(2):425-41. PubMed ID: 16394348
    [TBL] [Abstract][Full Text] [Related]  

  • 31. ACCOMP: Augmented cell competition algorithm for breast lesion demarcation in sonography.
    Cheng JZ; Chou YH; Huang CS; Chang YC; Tiu CM; Yeh FC; Chen KW; Tsou CH; Chen CM
    Med Phys; 2010 Dec; 37(12):6240-52. PubMed ID: 21302781
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Computerized interpretation of breast MRI: investigation of enhancement-variance dynamics.
    Chen W; Giger ML; Lan L; Bick U
    Med Phys; 2004 May; 31(5):1076-82. PubMed ID: 15191295
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Texture feature analysis for breast ultrasound image enhancement.
    Liao YY; Wu JC; Li CH; Yeh CK
    Ultrason Imaging; 2011 Oct; 33(4):264-78. PubMed ID: 22518956
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Texture classification-based segmentation of lung affected by interstitial pneumonia in high-resolution CT.
    Korfiatis P; Kalogeropoulou C; Karahaliou A; Kazantzi A; Skiadopoulos S; Costaridou L
    Med Phys; 2008 Dec; 35(12):5290-302. PubMed ID: 19175088
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Detection of breast masses in mammograms by density slicing and texture flow-field analysis.
    Mudigonda NR; Rangayyan RM; Desautels JE
    IEEE Trans Med Imaging; 2001 Dec; 20(12):1215-27. PubMed ID: 11811822
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Breast ultrasound image segmentation: a survey.
    Huang Q; Luo Y; Zhang Q
    Int J Comput Assist Radiol Surg; 2017 Mar; 12(3):493-507. PubMed ID: 28070777
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Interactive vs. automatic ultrasound image segmentation methods for staging hepatic lipidosis.
    Weijers G; Starke A; Haudum A; Thijssen JM; Rehage J; De Korte CL
    Ultrason Imaging; 2010 Jul; 32(3):143-53. PubMed ID: 20718244
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Breast ultrasonography: diagnostic efficacy of a computer-aided diagnostic system using fuzzy inference.
    Sawaki A; Shimamoto K; Satake H; Ishigaki T; Koyama S; Obata Y; Ikeda M
    Radiat Med; 1999; 17(1):41-5. PubMed ID: 10378651
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Correspondence in texture features between two mammographic views.
    Gupta S; Markey MK
    Med Phys; 2005 Jun; 32(6):1598-606. PubMed ID: 16013719
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Automatic detection of regions of interest in breast ultrasound images based on local phase information.
    Wang X; Guo Y; Wang Y
    Biomed Mater Eng; 2015; 26 Suppl 1():S1265-73. PubMed ID: 26405886
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 6.