93 related articles for article (PubMed ID: 22241616)
41. To what extent are objectively measured mammographic imaging techniques associated with compression outcomes.
Hudson SM; Wilkinson LS; De Stavola BL; Dos-Santos-Silva I
Br J Radiol; 2023 Jun; 96(1146):20230089. PubMed ID: 37086069
[TBL] [Abstract][Full Text] [Related]
42. Estimation of compressed breast thickness during mammography.
Highnam RP; Brady JM; Shepstone BJ
Br J Radiol; 1998 Jun; 71(846):646-53. PubMed ID: 9849389
[TBL] [Abstract][Full Text] [Related]
43. Measuring image texture to separate "difficult" from "easy" mammograms.
Taylor P; Hajnal S; Dilhuydy MH; Barreau B
Br J Radiol; 1994 May; 67(797):456-63. PubMed ID: 8193892
[TBL] [Abstract][Full Text] [Related]
44. Multiresolution statistical analysis of high-resolution digital mammograms.
Heine JJ; Deans SR; Cullers DK; Stauduhar R; Clarke LP
IEEE Trans Med Imaging; 1997 Oct; 16(5):503-15. PubMed ID: 9368106
[TBL] [Abstract][Full Text] [Related]
45. Accurate estimation of compressed breast thickness in mammography.
Mawdsley GE; Tyson AH; Peressotti CL; Jong RA; Yaffe MJ
Med Phys; 2009 Feb; 36(2):577-86. PubMed ID: 19291997
[TBL] [Abstract][Full Text] [Related]
46. Evaluation of pressure-controlled mammography compression paddles with respect to force-controlled compression paddles in clinical practice.
Jeukens CRLPN; van Dijk T; Berben C; Wildberger JE; Lobbes MBI
Eur Radiol; 2019 May; 29(5):2545-2552. PubMed ID: 30617472
[TBL] [Abstract][Full Text] [Related]
47. [Computerized estimation of a percent glandular tissue composition in computed radiography mammography].
Tsujita N; Goto S; Azuma Y; Shiraishi J
Nihon Hoshasen Gijutsu Gakkai Zasshi; 2011; 67(12):1540-7. PubMed ID: 22186199
[TBL] [Abstract][Full Text] [Related]
48. CFS-SMO based classification of breast density using multiple texture models.
Sharma V; Singh S
Med Biol Eng Comput; 2014 Jun; 52(6):521-9. PubMed ID: 24771118
[TBL] [Abstract][Full Text] [Related]
49. Digital image analysis in breast cancer: an example of an automated methodology and the effects of image compression.
López C; Lejeune M; Bosch R; Korzynska A; García-Rojo M; Salvadó MT; Alvaro T; Callau C; Roso A; Jaén J
Stud Health Technol Inform; 2012; 179():155-71. PubMed ID: 22925796
[TBL] [Abstract][Full Text] [Related]
50. Performance of dedicated emission mammotomography for various breast shapes and sizes.
Brzymialkiewicz CN; Tornai MP; McKinley RL; Cutler SJ; Bowsher JE
Phys Med Biol; 2006 Oct; 51(19):5051-64. PubMed ID: 16985287
[TBL] [Abstract][Full Text] [Related]
51. Measurement of compressed breast thickness by optical stereoscopic photogrammetry.
Tyson AH; Mawdsley GE; Yaffe MJ
Med Phys; 2009 Feb; 36(2):569-76. PubMed ID: 19291996
[TBL] [Abstract][Full Text] [Related]
52. A statistical methodology for mammographic density detection.
Heine JJ; Velthuizen RP
Med Phys; 2000 Dec; 27(12):2644-51. PubMed ID: 11190946
[TBL] [Abstract][Full Text] [Related]
53. Pilot study demonstrating potential association between breast cancer image-based risk phenotypes and genomic biomarkers.
Li H; Giger ML; Sun C; Ponsukcharoen U; Huo D; Lan L; Olopade OI; Jamieson AR; Brown JB; Di Rienzo A
Med Phys; 2014 Mar; 41(3):031917. PubMed ID: 24593735
[TBL] [Abstract][Full Text] [Related]
54. Rational-operator-based depth-from-defocus approach to scene reconstruction.
Li A; Staunton R; Tjahjadi T
J Opt Soc Am A Opt Image Sci Vis; 2013 Sep; 30(9):1787-95. PubMed ID: 24323260
[TBL] [Abstract][Full Text] [Related]
55. Closed-loop control of compression paddle motion to reduce blurring in mammograms.
Ma WK; Howard D; Hogg P
Med Phys; 2017 Aug; 44(8):4139-4147. PubMed ID: 28494106
[TBL] [Abstract][Full Text] [Related]
56. Evaluation of anomaly detection algorithm using trans-admittance mammography with 60 × 60 electrode array.
Zhao M; Wi H; Oh TI; Woo EJ
Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():6433-6. PubMed ID: 24111214
[TBL] [Abstract][Full Text] [Related]
57. Disparity Estimation on Stereo Mammograms.
Muralidhar GS; Bovik AC; Markey MK
IEEE Trans Image Process; 2015 Sep; 24(9):2851-63. PubMed ID: 25974940
[TBL] [Abstract][Full Text] [Related]
58. A novel simulation algorithm for soft tissue compression.
Zyganitidis C; Bliznakova K; Pallikarakis N
Med Biol Eng Comput; 2007 Jul; 45(7):661-9. PubMed ID: 17551761
[TBL] [Abstract][Full Text] [Related]
59. Mechanical standardisation of mammographic compression using Volpara software.
Serwan E; Matthews D; Davies J; Chau M
Radiography (Lond); 2021 Aug; 27(3):789-794. PubMed ID: 33419655
[TBL] [Abstract][Full Text] [Related]
60. Calibrated measures for breast density estimation.
Heine JJ; Cao K; Rollison DE
Acad Radiol; 2011 May; 18(5):547-55. PubMed ID: 21371912
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
