125 related articles for article (PubMed ID: 34837254)
61. Mammographic parenchymal patterns and breast cancer risk in New South Wales North Coast Aboriginal and Torres Strait Islander women.
Pape R; Spuur KM; Currie G; Greene L
J Med Radiat Sci; 2016 Jun; 63(2):81-8. PubMed ID: 27350887
[TBL] [Abstract][Full Text] [Related]
62. Multi-marker quantitative radiomics for mass characterization in dedicated breast CT imaging.
Caballo M; Pangallo DR; Sanderink W; Hernandez AM; Lyu SH; Molinari F; Boone JM; Mann RM; Sechopoulos I
Med Phys; 2021 Jan; 48(1):313-328. PubMed ID: 33232521
[TBL] [Abstract][Full Text] [Related]
63. Risk stratification of women with false-positive test results in mammography screening based on mammographic morphology and density: A case control study.
Winkel RR; Euler-Chelpin MV; Lynge E; Diao P; Lillholm M; Kallenberg M; Forman JL; Nielsen MB; Uldall WY; Nielsen M; Vejborg I
Cancer Epidemiol; 2017 Aug; 49():53-60. PubMed ID: 28558329
[TBL] [Abstract][Full Text] [Related]
64. Comparison of a Deep Learning Risk Score and Standard Mammographic Density Score for Breast Cancer Risk Prediction.
Dembrower K; Liu Y; Azizpour H; Eklund M; Smith K; Lindholm P; Strand F
Radiology; 2020 Feb; 294(2):265-272. PubMed ID: 31845842
[TBL] [Abstract][Full Text] [Related]
65. Derived mammographic masking measures based on simulated lesions predict the risk of interval cancer after controlling for known risk factors: a case-case analysis.
Hinton B; Ma L; Mahmoudzadeh AP; Malkov S; Fan B; Greenwood H; Joe B; Lee V; Strand F; Kerlikowske K; Shepherd J
Med Phys; 2019 Mar; 46(3):1309-1316. PubMed ID: 30697755
[TBL] [Abstract][Full Text] [Related]
66. Identification of Women at High Risk of Breast Cancer Who Need Supplemental Screening.
Eriksson M; Czene K; Strand F; Zackrisson S; Lindholm P; Lång K; Förnvik D; Sartor H; Mavaddat N; Easton D; Hall P
Radiology; 2020 Nov; 297(2):327-333. PubMed ID: 32897160
[TBL] [Abstract][Full Text] [Related]
67. Studies of parenchymal texture added to mammographic breast density and risk of breast cancer: a systematic review of the methods used in the literature.
Anandarajah A; Chen Y; Colditz GA; Hardi A; Stoll C; Jiang S
Breast Cancer Res; 2022 Dec; 24(1):101. PubMed ID: 36585732
[TBL] [Abstract][Full Text] [Related]
68. 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]
69. 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]
70. Prediction of malignancy by a radiomic signature from contrast agent-free diffusion MRI in suspicious breast lesions found on screening mammography.
Bickelhaupt S; Paech D; Kickingereder P; Steudle F; Lederer W; Daniel H; Götz M; Gählert N; Tichy D; Wiesenfarth M; Laun FB; Maier-Hein KH; Schlemmer HP; Bonekamp D
J Magn Reson Imaging; 2017 Aug; 46(2):604-616. PubMed ID: 28152264
[TBL] [Abstract][Full Text] [Related]
71. A new computer-aided detection approach based on analysis of local and global mammographic feature asymmetry.
Kelder A; Lederman D; Zheng B; Zigel Y
Med Phys; 2018 Apr; 45(4):1459-1470. PubMed ID: 29431858
[TBL] [Abstract][Full Text] [Related]
72. Computerized image analysis: estimation of breast density on mammograms.
Zhou C; Chan HP; Petrick N; Helvie MA; Goodsitt MM; Sahiner B; Hadjiiski LM
Med Phys; 2001 Jun; 28(6):1056-69. PubMed ID: 11439475
[TBL] [Abstract][Full Text] [Related]
73. Applying a new quantitative image analysis scheme based on global mammographic features to assist diagnosis of breast cancer.
Chen X; Zargari A; Hollingsworth AB; Liu H; Zheng B; Qiu Y
Comput Methods Programs Biomed; 2019 Oct; 179():104995. PubMed ID: 31443864
[TBL] [Abstract][Full Text] [Related]
74. Can quantitative evaluation of mammographic breast density, "volumetric measurement", predict the masking risk with dense breast tissue? Investigation by comparison with subjective visual estimation by Japanese radiologists.
Oiwa M; Endo T; Suda N; Morita T; Sato Y; Kawasaki T; Ichihara S
Breast Cancer; 2019 May; 26(3):349-358. PubMed ID: 30387023
[TBL] [Abstract][Full Text] [Related]
75. Breast density: agreement of measures from film and digital image.
Jeffreys M; Warren R; Smith GD; Gunnell D
Br J Radiol; 2003 Aug; 76(908):561-3. PubMed ID: 12893699
[TBL] [Abstract][Full Text] [Related]
76. Impact of type of full-field digital image on mammographic density assessment and breast cancer risk estimation: a case-control study.
Busana MC; Eng A; Denholm R; Dowsett M; Vinnicombe S; Allen S; Dos-Santos-Silva I
Breast Cancer Res; 2016 Sep; 18(1):96. PubMed ID: 27670914
[TBL] [Abstract][Full Text] [Related]
77. Computerized prediction of risk for developing breast cancer based on bilateral mammographic breast tissue asymmetry.
Wang X; Lederman D; Tan J; Wang XH; Zheng B
Med Eng Phys; 2011 Oct; 33(8):934-42. PubMed ID: 21482168
[TBL] [Abstract][Full Text] [Related]
78. 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]
79. Breast Cancer Molecular Subtype Prediction by Mammographic Radiomic Features.
Ma W; Zhao Y; Ji Y; Guo X; Jian X; Liu P; Wu S
Acad Radiol; 2019 Feb; 26(2):196-201. PubMed ID: 29526548
[TBL] [Abstract][Full Text] [Related]
80. A new automated method to evaluate 2D mammographic breast density according to BI-RADS® Atlas Fifth Edition recommendations.
Balleyguier C; Arfi-Rouche J; Boyer B; Gauthier E; Helin V; Loshkajian A; Ragusa S; Delaloge S
Eur Radiol; 2019 Jul; 29(7):3830-3838. PubMed ID: 30770972
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
